By introducing hidden layers that perform nonlinear transformations, a network can map linearly inseparable low-dimensional problems (like the XOR gate) into higher-dimensional, separable spaces. From this point on, neural networks gained the ability to represent complex patterns for approxim ...
As large language models (LLMs) expand into audio, progress has been breathtaking. “LLM-native” speech technology reached practical maturity roughly half a year ago, and the entire industry has surged forward. Two features mark this maturity: ultra-realistic speech and full-duplex interaction. A ...
Demystifying the misconception of Lossless Compression as Intelligence DebatesonLLMcompressiontheoryrevealpersistentmisconceptions.Crucially,compressionliesattheheartoftheLLMrevolution—illum ...
大模型时代的语音技术突破：超写实和全双工
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