Neural Nets' Language Understanding
Stephen delves into the fascinating world of neural nets' language modeling, highlighting how these systems extend beyond statistics to mimic human expectations. He discusses the discovery of a semantic grammar in chat GPT, drawing parallels to the evolution of logic in language from ancient times to modern machine learning systems.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#110 Dr. STEPHEN WOLFRAM - HUGE ChatGPT+Wolfram announcement!
Related Questions
Why are neural networks hard to explain in the context of the episode Stephen Wolfram: ChatGPT and the Nature of Truth, Reality & Computation | Lex Fridman Podcast #376 and the clip Neural Nets and Symbolism?
Why are neural networks hard to explain in the context of the episode Stephen Wolfram: ChatGPT and the Nature of Truth, Reality & Computation | Lex Fridman Podcast #376 and the clip Neural Nets and Symbolism?
Why are neural networks hard to explain in the context of the episode Stephen Wolfram: ChatGPT and the Nature of Truth, Reality & Computation | Lex Fridman Podcast #376 and the clip Neural Nets and Symbolism?