DIKWP limitation test report of GPT 4 (comparison of domestic DIKWP-GPT modeling and cross-DIKWP modal analysis capabilities)
Duan Yucong (Yucong Duan), all members of the DIKWP team (2022, 2023)
DIKWP research group, Hainan University
duanyucong@hotmail.com
(I'm very sorry, due to the epidemic and the application project, this report has been delayed for nearly 3 months, thanks to every member of the awesome DIKWP team)
Since GPT/AGI is a "socialized technology" (see: "societized technology"), the DIKWP team promises that if GPT5 is released, the DIKWP team will disclose the entire research framework of DIKWP-GPT and become the most potential domestic unit free of charge Provide rationale and technical support to cope.
GPT4's DIKWP modeling ability test:
(1) Test its ability to convert natural language content into DIKWP and reason based on contextual content.
A. Use case input:
1. If a 17-year-old teenager weighs more than 180 catties, he will be at risk of developing heart disease, which is called obesity
2. Xiao Wang is 17 years old and weighs 185 catties.
3. Xiao Wang often worries about his weight, and his appetite has decreased recently
4. Xiao Wang saw the news about obesity on TV.
5. Two days ago, Xiao Wang received a flyer for a weight loss training class, which clearly stated that he must not be obese to enroll in the class.
6. Xiao Wang wants to go to the hospital.
Please analyze the above data, information, knowledge, wisdom and intention. And construct the map respectively, and give the detailed process.
GPT4 DIKWP output:
Data: If a 17-year-old teenager weighs more than 180 kilograms, he will have a risk of heart disease, which is called obesity; Xiao Wang is 17 years old and weighs 185 kilograms.
Information: Xiao Wang often worries about his weight, and his appetite has decreased recently; Xiao Wang saw news about obesity on TV.
Knowledge: Two days ago, Xiao Wang received a flyer for a weight loss training class, which clearly stated that he must not be obese to enroll in the class.
Wisdom: Knowing Xiao Wang's situation, you can analyze the health problems he may face and how to help them.
Intent: Xiao Wang wants to go to the hospital.
Data map: This layer mainly contains raw data, such as age, weight, etc. In this case we have the following data:
A 17-year-old who weighs more than 180 pounds is at risk of heart disease, which is called obesity.
Xiao Wang: He is 17 years old and weighs 185 catties.
Information Graph: This layer contains descriptive information based on data. In this case we have the following information:
Xiao Wang was worried about his weight and his appetite decreased.
Xiao Wang learned about obesity.
Knowledge Graph: This layer contains deeper insights derived from analyzing information. In this case, we have the following knowledge:
Weight loss training courses require applicants not to be obese.
Xiao Wang's weight may lead to obesity.
Wisdom Graph: This layer involves applying knowledge to real situations to solve problems or provide assistance. In this case, we have the following wisdom:
the
Analyze Xiao Wang's health status and provide him with corresponding help.
Xiao Wang is encouraged to seek the advice of a professional doctor and formulate a scientific weight loss plan.
Intention Map: This layer represents actions or goals, usually manifested in people's needs or desires. In this case we have the following intents:
Xiao Wang wants to go to the hospital.
the
B. Use case input:
So according to the above content, Xiao Wang is likely to have or has already suffered from some kind of disease, what is the basis?
GPT-4 output:
According to the above content, Xiao Wang is likely to face the risk of obesity. Based on the following:
Xiao Wang's age and weight: According to statistics, if a 17-year-old teenager weighs more than 180 catties, he will have a risk of heart disease, which is called obesity. And Xiao Wang is in this age group, and his weight is 185 catties, which exceeds the limit of 180 catties.
Xiao Wang's mood and diet: Xiao Wang often worries about his weight, and his appetite has decreased recently. This information shows that Xiao Wang may have realized his weight problem and tried to deal with it by reducing his meal intake.
However, it is impossible to determine whether Xiao Wang has already suffered from obesity based on this information alone. In order to make a more accurate judgment, professional doctors need to conduct a comprehensive assessment of Xiao Wang, including biochemical indicators such as blood pressure, blood lipids, and blood sugar, as well as a comprehensive analysis of his living habits and diet structure. Only after a professional evaluation by a doctor can we know exactly what Xiao Wang's health is like. Therefore, it is a wise choice to encourage Xiao Wang to go to the hospital to seek the advice of a professional doctor.
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C. Use case input:
1. Xiao Wang often feels guilty and remorseful for his words and deeds, his mood fluctuates greatly, and he often feels depressed.
2. Xiao Li always feels guilty and ashamed for his words and deeds, and feels hopeless overall.
3. Xiao Zhang occasionally feels embarrassed by his words and deeds, and occasionally feels lonely emotionally.
4. Xiao Zhao is becoming less and less talkative. Recently, he doesn’t even dare to face up to his partners in extracurricular activities, and some people tell him not to participate in the football activities he used to like. Dirty.
If Xiao Li is diagnosed as moderately depressed, with a depression tendency of 70%,
Xiao Zhao was diagnosed with a tendency to develop depression from 5% to 30%.
Based on the above content, please summarize the data map, information map, knowledge map, and wisdom intention, and construct the DIKWP map respectively, and give the detailed process.
the
GPT-4 output:
In this context, we can categorize these descriptions in terms of data, information, knowledge, wisdom, and intent. Classify first:
the
Data: Xiao Li was diagnosed as moderately depressed, with a depression tendency of 70%; Xiao Zhao was diagnosed with a depression tendency from 5% to 30%.
Information: Xiao Wang often feels guilty and remorseful for his words and deeds, has great mood swings, and often feels depressed; Occasionally feel lonely; Xiao Zhao is becoming less and less talkative. Recently, he dare not even face up to his partners in extracurricular activities, and someone told him to stop participating in the football activities he liked before, and the color of the clothes he wore began to become more and more dim , often dirty.
Knowledge: It can be inferred from the above information that Xiao Wang, Xiao Li, Xiao Zhang and Xiao Zhao may face different degrees of psychological problems.
Wisdom: Analyze the information and provide everyone with appropriate help and support, such as psychological counseling, social activities, etc.
Intent: There is no clear intent information at this time.
Xiao Zhao: The tendency to depression has grown from 5% to 30%
Information graph:
Xiao Wang: guilt and self-blame, big mood swings, feeling low
Xiao Li: guilt and shame, emotional despair
Xiao Zhang: Sometimes I feel embarrassed, sometimes I feel lonely
Xiao Zhao: I am less and less talkative, I avoid extracurricular activities, my clothes are dim and dirty
Knowledge map:
Xiao Wang, Xiao Li, Xiao Zhang, and Xiao Zhao may face different degrees of psychological problems
Wisdom map:
Provide appropriate help and support for everyone, such as psychological counseling, social activities, etc.
Intent map:
No clear intention information
These hierarchies are then connected by relationships. For example:
The relationship between the data map and the information map: Through the depression tendency data of Xiao Li and Xiao Zhao, understand their psychological status.
The relationship between the information map and the knowledge map: analyze the emotional and behavioral information of Xiao Wang, Xiao Li, Xiao Zhang, and Xiao Zhao to understand the psychological problems they may face.
The relationship between the knowledge map and the wisdom map: According to the understanding of their psychological problems, propose appropriate help and support programs, such as psychological counseling, social activities, etc.
The relationship between the intention map and the wisdom map: If there is clear intention information, we can further provide more targeted help and support for everyone.
When building a DIKWP map, graphical tools such as drawing software or professional knowledge map tools can be used to visualize these hierarchies and relationships. Nodes can be used to represent data, information, knowledge, wisdom, and intentions, and arrows can be used to represent the connections between them. This can help us understand the situation of these people more intuitively and provide them with effective support.
In a word, by constructing DIKWP map, we can express data, information, knowledge, wisdom and intention hierarchically, and reveal the relationship among them. This helps us better understand the needs of these people and provide them with targeted help. At the same time, this method can also be applied to other similar problems to provide deeper analysis and solutions.
D. Use case input:
According to the above description combined with Xiao Li and Xiao Zhao's situation and diagnosis results, please evaluate Xiao Wang's depression probability and give a formal expression process?
GPT-4 output:
To assess Xiao Wang's probability of being depressed, we can compare it to that of Xiao Li and Xiao Zhao. It should be noted that the evaluation here is only a preliminary judgment and cannot replace professional psychological evaluation. We can use Bayes' theorem for probability evaluation.
A represents the event that Xiao Wang suffers from depression;
B represents Xiao Wang's behavioral characteristics (guilty and self-blame in words and deeds, big mood swings, often feeling down);
P(A) represents the prior probability of suffering from depression (probability of suffering from depression in the general population, assumed to be p%);
P(B|A) represents the probability of exhibiting these behavioral characteristics in the case of known depression;
P(B) represents the probability of exhibiting these behavioral characteristics;
P(A|B) represents the probability of being depressed given these behavioral characteristics.
We can first estimate the values of P(B|A) and P(B). By observing the situation of Xiao Li and Xiao Zhao, we can get the following information:
Xiao Li: Depression tends to be 70%, guilt and shame in words and deeds, and overall feeling of despair.
Xiao Zhao: Tendency to depression developed from 5% to 30%, becoming taciturn, avoiding partners, not participating in favorite activities, wearing dark and dirty clothes.
Based on this information, we can roughly estimate:
P(B|A): In the case of known depression, the probability of showing these behavioral characteristics of Xiao Wang. Since Xiao Li and Xiao Zhao's depression symptoms are similar to Xiao Wang's, we can assume that this probability is higher, such as 80% (it should be noted that this value is hypothetical, and the actual situation may be different).
P(B): Among all people, the probability of exhibiting these behavioral characteristics. Suppose this probability is q%.
Next, we need to estimate the prior probability P(A) of being depressed. Here, we assume that among Xiao Wang's population, the probability of suffering from depression is p%.
Substituting these values into the Bayes theorem formula yields:
P(A|B) = P(B|A) * P(A) / P(B) = 0.8 * p% / q%
This formula gives the probability of suffering from depression given Xiao Wang's behavioral characteristics. However, since we do not have exact P(A) and P(B) values, it is impossible to calculate an exact probability of depression.
To get a rough estimate, we can use some common sense assumptions. According to some studies, the prevalence of depression is about 10%, so we can assume p = 10%. Similarly, we can assume that among all people, the probability of exhibiting these behavioral characteristics of Xiao Wang is q = 20%.
Substitute into the formula to get:
P(A|B) = 0.8 * 10% / 20% = 0.4
According to this simplified estimate, the probability of Xiao Wang suffering from depression is 40%. It should be emphasized that this estimate may be affected by our assumed P(A) and P(B) values, so in practice, it is recommended to seek the evaluation of a professional psychologist.
In short, according to the preliminary assessment conducted by Bayesian theorem, we can think that Xiao Wang has a certain degree of risk of depression. In order to better assess Xiao Wang's psychological condition, it is recommended to conduct a professional psychological assessment.
E. Use case input:
If Xiao Wang was diagnosed with severe depression by reference to other medical indicators, then his data and information indicators may have been collected incorrectly?
GPT-4 output:
If Xiao Wang is diagnosed with severe depression after referring to other medical indicators, then we need to re-examine the previous evaluation of his data and information indicators. Possible collection errors or omissions include:
Incomplete behavioral characteristics: Maybe we only pay attention to some of Xiao Wang's behavioral characteristics, such as guilt and self-blame, big mood swings and often feeling down. Symptoms of major depression may also include severe feelings of disappointment, loss of interest in daily activities, sleep and appetite problems, fatigue, difficulty concentrating, suicidal thoughts, and more. We need to learn more about Xiao Wang's complete symptoms in order to more accurately assess his degree of depression.
Misunderstanding of information: In the previous assessment, we may have misunderstood Xiao Wang's situation, such as misjudging his symptoms as mild depression. If Xiao Wang's actual condition is more serious than we understand, we need to reassess his depression risk.
Influence of medical indicators: When diagnosing depression, in addition to observing behavioral characteristics, other medical indicators also need to be considered, such as biochemical tests, neuroimaging tests, etc. These indicators help to understand Xiao Wang's physical condition more comprehensively, so as to judge his depression degree more accurately. If we had previously ignored these medical indicators, then previous assessments may have been biased.
Omission of personal background factors: When evaluating Xiao Wang's depression, we need to pay attention to his personal background factors, such as family environment, social circle, work pressure, etc. These factors may have had an important impact on his mental health. If we haven't taken these factors into account beforehand, then the previous assessment may not have been accurate enough.
To sum up, when re-examining Xiao Wang's data and information indicators, we need to pay attention to possible collection errors and omissions, and combine other medical indicators and personal background factors to more accurately evaluate his depression. In practical applications, professional psychologists should be sought for assessment and diagnosis to ensure accuracy and effectiveness.
the
F. Use case input:
The two patients were Xiao Wang and Xiao Zhang. They both had headaches and went to the hospital at the same time.
Dr. Zhao listened to the description of Xiao Wang and Xiao Zhang's condition successively.
Xiao Wang's description: The headache is on the left side, and it lasts for several hours every day. The pain is pulsating, accompanied by nausea and vomiting.
Xiao Zhang's description: The headache is located on the right side, and it lasts for different times every day. The pain is a persistent tingling sensation, accompanied by symptoms of light allergy and sound allergy.
Please analyze the data, information, knowledge, wisdom and intention based on the above content. And construct the DIKWP map respectively, explain the detailed process.
Xiao Zhang: Headache location (right), duration (variable), pain type (tingling), accompanying symptoms (sensitivity to light, hypersensitivity to sound)
Information graph:
Xiao Wang: The headache is on the left side, lasting several hours a day, throbbing pain, accompanied by nausea and vomiting
Xiao Zhang: Headache on the right side, lasting for different times every day, tingling sensation, accompanied by hypersensitivity to light and sound
Knowledge map:
According to the description of the disease, it can be inferred that:
Xiao Wang may have a migraine
Xiao Zhang may suffer from neuropathic headache
Wisdom map:
Provide patients with the correct diagnosis and treatment recommendations:
Xiao Wang: Treat migraine, such as using migraine medicine
Xiao Zhang: Treat nervous headaches, such as using painkillers and adjusting lifestyle habits
Intent map:
Xiao Wang and Xiao Zhang hope to get effective treatment and relieve symptoms
When building a graph, graphical tools such as graphing software or professional knowledge graph tools can be used to visualize these hierarchies and relationships. Nodes can be used to represent data, information, knowledge, wisdom, and intentions, and arrows can be used to represent the connections between them. This can help us understand Xiao Wang and Zhang's condition more intuitively and provide them with effective support.
In short, by constructing the DIKWP map, we can represent data, information, knowledge, wisdom and intention in a map and reveal the relationship between them. This helps us better understand the needs of Xiao Wang and Zhang, and provide them with targeted help. At the same time, this method can also be applied to other similar problems to provide deeper analysis and solutions.
The detailed process of constructing the DIKWP map:
First, create a blank graph canvas, you can use drawing software or a professional knowledge graph tool.
Create five layers on the canvas: data layer, information layer, knowledge layer, intelligence layer, and intent layer.
Add corresponding nodes for each hierarchy:
Data map: create nodes for Xiao Wang and Zhang's headache location, duration, pain type and accompanying symptoms.
Information graph: Create the disease description nodes of Xiao Wang and Xiao Zhang.
Knowledge graph: Create nodes where Xiao Wang may suffer from migraine and Xiao Zhang may suffer from neuropathic headache.
Wisdom map: Create diagnosis and treatment suggestion nodes for Xiao Wang and Xiao Zhang.
Intent map: create nodes where Xiao Wang and Zhang hope to receive effective treatment and relieve symptoms.
Use arrows to connect the nodes of each layer to indicate the relationship between them:
Data graph to information graph: connect Xiao Wang and Xiao Zhang's headache location, duration, pain type and accompanying symptom nodes to the disease description node.
Information graph to knowledge graph: connect Xiao Wang and Xiao Zhang's disease description nodes to possible disease nodes.
Knowledge map to wisdom map: connect Xiao Wang and Xiao Zhang's possible disease nodes to diagnosis and treatment suggestion nodes.
Wisdom Graph to Intent Graph: Connect Xiao Wang’s and Zhang’s diagnosis and treatment suggestion nodes to nodes who hope to receive effective treatment and relieve symptoms.
After the DIKWP map construction is completed, its expression and structure can be optimized by checking and adjusting the DIKWP map.
In this way, by constructing the DIKWP map, we can clearly present the conditions of Xiao Wang and Zhang and their related data, information, knowledge, wisdom and intentions, which will help to better understand their needs and provide them with effective diagnosis and treatment recommendations.
the
G. Use case input:
According to the above. If Xiao Wang went to the hospital for treatment, he would consult Dr. Zhao and Dr. Liu for diagnosis.
When he went to the hospital, he described chest pains and shortness of breath.
Dr. Zhao thought that Xiao Wang might suffer from coronary heart disease through physical examination and auscultation.
Dr. Liu believes that these symptoms may be caused by excessive anxiety.
May I ask what is the cognitive difference between the two doctors' descriptions of Xiao Wang, and why there are inconsistent conclusions? Please give the analysis process in detail.
the
GPT-4 output:
The difference in cognition between the two doctors' descriptions of Xiao Wang is mainly reflected in their explanations of the causes of symptoms. Dr. Zhao and Dr. Liu may have different emphases, experiences, and ways of interpreting symptoms during the diagnosis process, which led to their inconsistent conclusions. Next, we will analyze the diagnostic process of these two doctors in detail.
the
Dr. Zhao:
During the diagnosis process, Dr. Zhao may have paid more attention to Xiao Wang's chest pain and shortness of breath. On physical examination and auscultation, he may have observed some signs related to coronary artery disease. Therefore, Dr. Zhao may think that Xiao Wang's symptoms are related to coronary heart disease based on his own experience and observation. This indicates that Dr. Zhao may have focused more on physiological factors in the diagnosis process.
the
Dr. Liu:
During the diagnosis process, Dr. Liu may have paid more attention to Xiao Wang's psychological state. He may have noticed that Wang's symptoms were related to anxiety and thought they might be due to excessive anxiety. This shows that Dr. Liu may have paid more attention to psychological factors in the diagnosis process.
the
Reasons for inconsistent conclusions may include the following:
the
Different focus of diagnosis: Dr. Zhao and Dr. Liu may have different focus during the diagnosis process. Dr. Zhao may be more concerned with physical factors, while Dr. Liu may be more concerned with psychological factors.
the
Differences in individual experience: The experience and expertise of different physicians may influence their diagnosis. Dr. Zhao may have more experience in the cardiovascular field, while Dr. Liu may have more experience in the psychological field.
the
Complexity of Symptoms: Chest pain and shortness of breath may have multiple causes, and a diagnosis needs to take all possibilities into account. In such cases, doctors may interpret the cause of symptoms based on their own experience and observations.
the
To sum up, when Dr. Zhao and Dr. Liu diagnosed Xiao Wang, they may have reached inconsistent conclusions due to factors such as emphasis, differences in experience, and complexity of symptoms. In order to ensure an accurate diagnosis, it is recommended that Xiao Wang undergo further relevant examinations and evaluations to find out the exact cause of the symptoms.
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H. Use case input:
Both Xiao Wang and Xiao Li are job seekers related to the computer industry. Xiao Wang is a fresh graduate, and Xiao Li is a practitioner with 3 years of work experience.
A company sends out the following recruitment information:
1. Recruit computer software engineers with 1-3 years of relevant working experience. Excellent fresh graduates can also submit their resumes.
2. Need to bear hardships and stand hard work, have the enthusiasm for pursuing technology and a good sense of responsibility, and have relatively good learning ability and ability to adapt to changes.
3. Able to work overtime occasionally.
4. Understand Java, C++ or other programming languages, have good programming skills and document reading and writing skills.
5. Have certain English reading ability.
In addition to the basic information, Xiao Wang’s resume emphasized that he has half a year’s internship experience, is cheerful and easy-going, and can get along well with others. He has won a scholarship in school, has excellent grades, excellent English reading skills, and can adapt to the requirements of frequent overtime work. , but there is no related programming skills.
In addition to basic information, Xiao Li's resume has 3 years of work experience, is familiar with the Java language, and has participated in many development projects. But he emphasized on his resume that he has a calm personality, and although he is not good at communication, he has a sense of responsibility.
If I were HR, which one should I choose as a company employee? Can you make a detailed comparison from data, information, knowledge, wisdom (DIKWP)?
the
GPT-4 output:
Compare Xiao Wang and Xiao Li from the levels of data, information, knowledge, and wisdom:
Xiao Li: 3 years of work experience, familiar with Java, participating in multiple development projects
the
information:
Xiao Wang: Has a good learning background and excellent English reading ability, but no relevant programming skills
Xiao Li: Has rich work experience and programming skills, but communication skills need to be improved
Knowledge:
Xiao Wang: Has excellent academic performance and learning ability, but needs further improvement in skills
Xiao Li: Master Java and other programming languages, have practical development experience, but may need to improve teamwork skills
wisdom:
Xiao Wang: It may be more suitable to grow up in an environment that learns quickly and adapts to changes, and has strong potential
Xiao Li: More mature in terms of skills and experience, more suitable for direct project work
the
Considering the comparison of the above levels comprehensively, the recruitment information requires 1-3 years of relevant working experience, but outstanding fresh graduates are also encouraged to submit their resumes. At the same time, the recruitment information emphasizes the ability to learn and adapt to change. From this perspective, Xiao Wang has strong potential and learning ability, and may be more in line with the requirements in this regard.
However, the job posting also requires knowledge of Java, C++ or other programming languages, with good programming skills. From this perspective, Xiao Li has richer work experience and skills, and is more suitable for direct project work.
As an HR, you need to consider the actual needs of the company comprehensively. If the company needs employees who can quickly commit to project work in the short term, then Xiao Li may be a better choice. And if the company is willing to cultivate employees and focus on long-term potential, then Xiao Wang may be a more suitable candidate. In the actual recruitment process, interviews and other links can also be used to further understand the comprehensive abilities of the two job seekers in order to make a more comprehensive assessment.
the
I. Use case input:
If the company is a startup, the business is growing rapidly. The last interviewer for the company interviewed both men and was satisfied with their interview performance. However, the interviewer, considering the future development, hopes that people with mature and stable personalities and great development potential will come to the company, and at the same time hope to train employees to take over new projects. How should I make a decision in the end?
the
GPT-4 output:
the
For a start-up company, it is especially important to quickly adapt to business development and meet the challenges of new projects. In this case, the interviewer needs to make a trade-off between Xiao Wang and Xiao Li.
the
As a fresh graduate, Xiao Wang has strong learning ability and development potential, and he is cheerful and easy-going. Although he lacks relevant programming experience, startups may pay more attention to his adaptability and learning ability. In a fast-growing start-up company, Xiao Wang may have an easier time adapting to change and becoming a valuable employee.
the
Xiao Li has 3 years of work experience, is familiar with the Java language, and has participated in many development projects. He has a calm and stable personality, but his communication skills are relatively weak. On new projects, Li can quickly get to work, but may face challenges with teamwork and communication.
the
Considering the characteristics of the start-up company and the expectations of the interviewer, choosing Xiao Wang may be a better decision. His ability to learn and adapt to changes may be more in line with the needs of fast-growing startups. The company can provide Xiao Wang with the necessary training and support in the new project, helping him grow rapidly and exert greater value.
the
Of course, the decision here is not absolute, and needs to be weighed according to the company's specific situation and the interviewer's evaluation of the two job applicants. No matter which candidate is selected, it is key to provide them with adequate support and training so that they can better adapt to the company's environment and development needs.
the
J. Use case input:
Now there is a form, the title of which is: 2023 Bytedance Recruitment Preliminary Screening Information Form. Certificates, work experience, self-evaluation. Analyze the purpose (intent) of the form maker based on the above description of the form.
the
GPT-4 output:
the
According to the content of the form described, the purpose of the form maker may be to collect and organize the information of the applicants for evaluation and screening in ByteDance's preliminary recruitment screening stage. By collecting information such as the applicant's name, age, place of origin, graduate school, major studied, graduate school, rewards obtained, certificates, work experience and self-evaluation, the recruiter can analyze each applicant's background, Experience and ability to conduct a comprehensive understanding in order to find excellent talents who meet the job requirements.
the
K. Use case input:
According to the above description of the form, analyze the purpose of the form maker from the data, information, knowledge, wisdom, intention (DIKWP) level, and give a detailed process.
the
GPT-4 output:
the
When analyzing the purpose of the form maker, we can consider it from five levels: data, information, knowledge, wisdom and intention. The following is the detailed analysis process:
1. Data level: The form maker collected basic data such as the applicant's name, age, place of origin, graduate school, major studied, graduate school, awards received, certificates, work experience, and self-evaluation. These data provided the raw material for the initial screening.
2. Information level: By sorting and categorizing the original data, the form maker converts the data into useful information, for example: classifying the applicants according to the graduate school, major, work experience, etc., so as to better understand The background and abilities of each candidate.
3. Knowledge level: Based on this information, form makers can analyze potential laws and trends, thereby forming knowledge. For example, they can find that certain graduate schools and majors better match the needs of the company, and certain certificates and awards may indicate that candidates have high abilities and potential, etc.
4. Wisdom level: On the basis of knowledge, the form maker can use wisdom to conduct more in-depth analysis and optimization of the screening results. For example, they can analyze which characteristics of applicants are more suitable for the needs of the company based on the successful cases of previous recruitment, and optimize the recruitment strategy accordingly.
5. Intent level: From the entire analysis process, we can infer that the purpose of the form maker is to conduct preliminary recruitment screening more efficiently and to screen out excellent talents that meet the needs of ByteDance. By collecting, organizing, analyzing and using applicant information, they can better find suitable candidates for the company and improve the success rate of recruitment.
L. Use case input:
1. Xiao Wang often feels guilty and remorseful for his words and deeds, his mood fluctuates greatly, and he often feels depressed.
2. Xiao Li always feels guilty and ashamed for his words and deeds, and feels hopeless overall.
3. Xiao Zhang occasionally feels embarrassed by his words and deeds, and occasionally feels lonely emotionally.
4. Xiao Zhao is becoming less and less talkative. Recently, he doesn’t even dare to face up to his partners in extracurricular activities, and some people tell him not to participate in the football activities he used to like. Dirty.
5. Xiao Wang smiles more every summer, and eats more.
6. When Xiao Li traveled from Xining to Sanya, Hainan last winter, he took the initiative to perform for everyone and also intended to take pictures with the children.
7. Although Xiao Zhang took clozapine according to the doctor's advice, the tendency to be irritable has been greatly reduced, but whenever the temperature changes, his mood fluctuates violently, and his dopamine level also rises and falls by 15%-25% compared to normal.
8. The last time Xiao Zhao went to Wuzhishan to climb down the mountain, he was full of energy for a week, as if he had returned to his previous appearance. I remember that the sun was always shining during that time, and the air pressure was much lower than usual.
the
If they live in Xining, according to the four seasons of spring, summer, autumn and winter, please give them a climate comfortable location change strategy in units of seasons that is more comfortable for them and conducive to depression improvement. The range is one year, as accurate as possible. Please combine data, information, knowledge, wisdom, purpose (DIKWP) to give more detailed results
the
GPT-4 output:
When giving more detailed results, we will analyze from the five levels of data, information, knowledge, wisdom and purpose (intent) DIKWP.
1. Data Atlas: Collect meteorological data related to mood and depression symptoms such as climate, temperature, humidity, sunshine duration, altitude, etc., as well as information about scenery, culture, and activities in various places.
2. Information map: sort and classify the collected data, such as climate type, temperature range, sunshine duration, etc. in different regions, as well as characteristic attractions and cultural activities in various places.
3. Knowledge map: Based on the information, analyze which climatic conditions and geographical environments are more beneficial to the improvement of depression symptoms, such as sufficient sunshine, warm and humid climate, and abundant outdoor activities.
4. Wisdom Map: On the basis of knowledge, according to the specific symptoms and needs of Xiao Wang, Xiao Li, Xiao Zhang and Xiao Zhao, use wisdom to formulate more accurate location change strategies.
5. Atlas of intent: Through the above analysis and strategy formulation, help Xiao Wang, Xiao Li, Xiao Zhang and Xiao Zhao choose a more comfortable weather environment in different seasons to improve depression symptoms.
1. Xiao Wang:
• Spring: Go to Nanjing. The cherry blossoms in Nanjing are in full bloom in spring. The climate is warm and humid, and the sunshine duration is moderate, which helps to stabilize the mood.
•Summer: Go to Qinghai Lake. In summer, Qinghai Lake has a cool climate, beautiful lakes and mountains, and moderate sunshine hours, which can relieve the mood swings caused by the heat.
•Autumn: Go to Guilin. In autumn, Guilin has a pleasant climate, beautiful mountains and rivers, and moderate sunshine hours, which can help relieve guilt and self-blame.
•Winter: Go to Shenzhen. In winter, Shenzhen has plenty of sunshine, warm climate and longer sunshine hours, which is good for alleviating depression.
2. Xiao Li:
• Spring: Go to Wuhan, where the cherry blossoms in Wuhan are in full bloom in spring. The climate is moderate and the sunshine duration is moderate, which helps to relieve the mood of despair.
•Summer: Go to Weihai. In summer, Weihai has a cool climate, beautiful seaside scenery and moderate sunshine hours, which help to improve your mood.
•Autumn: Go to Kanas, Xinjiang. In autumn, Kanas has a pleasant climate, beautiful natural landscape and moderate sunshine duration, which is good for alleviating depression.
•Winter: Go to Pu'er. In winter, Pu'er has plenty of sunshine, warm climate and longer sunshine hours, which can help relieve depression.
3. Xiao Zhang:
• Spring: Go to Fuzhou. In spring, Fuzhou has a warm climate, lush vegetation, and moderate sunshine hours, which help relieve loneliness.
•Summer: Go to Changchun. In summer, Changchun is cool and pleasant, and the sunshine is moderate, which helps to maintain emotional stability.
•Autumn: Go to Luoyang. In autumn, Luoyang has a moderate climate, rich historical and cultural heritage, and moderate sunshine hours, which help to divert attention.
•Winter: Go to Zhuhai. Zhuhai is warm and humid in winter, and the sunshine lasts longer, which is good for reducing mood swings caused by temperature changes.
4. Xiao Zhao:
• Spring: Go to Xishuangbanna. In spring, Xishuangbanna has a pleasant climate, beautiful tropical rainforest and moderate sunshine hours, which help Xiao Zhao relax and improve his enthusiasm for communication.
•Summer: Go to Ulan Butong. In summer, Ulan Butong has a cool climate, spectacular grassland scenery and moderate sunshine hours, which will help stimulate Xiao Zhao's interest and enthusiasm to participate in outdoor activities.
•Autumn: Go to Mount Huangshan. In autumn, Mount Huangshan has a suitable climate, magnificent natural landscape, and moderate sunshine duration, which will help Xiao Zhao reduce stress and improve his mood.
•Winter: Go to Xiamen. In winter, Xiamen has a warm climate and longer hours of sunshine, which will help Xiao Zhao feel the sunshine and warmth and improve his enthusiasm.
At the same time, it is recommended that they try more positive psychological interventions in their lives, such as consulting a psychologist and performing psychotherapy, so as to better improve their depression symptoms. They can also try to make new friends, join interest groups, and learn new skills to enrich their lives, expand their social circles, and improve their sense of self-worth.
At the same time, it is recommended that they try more positive psychological interventions in their lives, such as consulting a psychologist and performing psychotherapy, so as to better improve their depression symptoms. They can also try to make new friends, join interest groups, and learn new skills to enrich their lives, expand their social circles, and improve their sense of self-worth.
the
M. Use case input:
Xiao Zhang Data 11: 70% Information 11: Sorry Information 12: Depression Information 13: Loneliness Diagnosis result: Moderate depression
Xiao Wang Data 11: 5%-30% Information 11: Not talkative Information 12: Not participating in activities Information 13: ? Diagnosis: Tendency to depression
Generate a table based on the above data
the
(omitted...)
GPT-4 output:
N. Use case input:
According to the above table, deduce the specific description of Xiao Wang's information 13, and give the detailed process
the
GPT-4 output:
When reasoning about Xiao Wang's information 13, we can analyze it based on known data 11, information 11, and information 12. The following is the detailed process:
1. Data 11: 5% - 30% This data may indicate the degree of a certain characteristic or symptom. Combined with Xiao Wang's diagnosis of depression tendency, we can speculate that this data may be related to the degree of depressive symptoms.
2. Information 11: Not talkative Xiao Wang may become taciturn in his daily life, which may be one of the symptoms of depression, indicating that he may be affected in emotional communication.
3. Message 12: Not participating in activities Xiao Wang has lost interest in activities he liked in the past, which is also a typical symptom of depression, indicating that he may have been affected in terms of hobbies and social activities.
Based on the above information, we can try to infer Xiao Wang's information 13:
Message 13: Depression or lack of motivation Combining data 11 with messages 11 and 12, we can speculate that Xiao Wang may often feel depressed or lack of motivation. These symptoms were consistent with depressive tendencies, suggesting that he may have suffered from emotional stability and motivation.
the
O. Use case input:
In the above table, the diagnosis result is taken as the conclusion, and the two rows of data in one column are compared, and the content of information 13 is deduced based on the conclusion, and the detailed process is given
the
GPT-4 output:
According to the above table, we can infer Xiao Wang's information by comparing the two rows of data and conclusions13. The following is the detailed process:
First, let's observe the diagnosis results of Xiao Zhang and Xiao Wang:
• Xiao Zhang: moderate depression
• Xiao Wang: Tendency to be depressed
We can see that Xiao Zhang's depression symptoms are relatively more serious, while Xiao Wang is only prone to depression.
Next, compare what is known about the two:
• Xiao Zhang: Data 11 is 70%, information 11 is embarrassment, information 12 is depressed, information 13 is loneliness.
• Xiao Wang: Data 11 is 5%-30%, information 11 means not talkative, information 12 means not participating in activities.
We can see that the data 11 of Xiao Zhang and Xiao Wang are quite different, which may reflect the severity of depressive symptoms. In addition, Xiao Zhang's information 11, information 12 and information 13 are all related to depressive symptoms, while Xiao Wang's information 11 and 12 are also related to depressive symptoms.
According to the comparison, we can speculate that Xiao Wang's information 13 may be related to depressive symptoms, but it is relatively mild. Combined with Xiao Wang's diagnosis (depression tendency), we can infer:
Message 13: Mild Depression or Mild Lack of Motivation Compared to Zhang's depression and loneliness, Xiao Wang's symptoms may not be as severe. Therefore, we speculate that Xiao Wang may have mild depression or mild lack of motivation, and these symptoms are consistent with depressive tendencies.
This is speculation based on known information and actual conditions may vary. To understand Xiao Wang's real situation, it is recommended to collect further detailed information and observations about him.