Edge 344: LLMs and Memory is All You Need. Inside One of the Most Shocking Papers of the Year
Was this email forwarded to you? Sign up here Edge 344: LLMs and Memory is All You Need. Inside One of the Most Shocking Papers of the YearCan memory-augmented LLMs simulate any algorithm?Large language models(LLMs) continue to push the limits of computations models one breakthrough at a time. How far could this go? Well, a recent research paper published from AI researchers from Google Brain and University of Alberta shows that it can go VERY FAR. Could we possibly simulate any algorithm using large language models(LLMs) and memory? Can the combination of LLM and memory be Turing complete?... Subscribe to TheSequence to read the rest.Become a paying subscriber of TheSequence to get access to this post and other subscriber-only content. A subscription gets you:
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Edge 343: Understanding Llama-Adapter Fine-Tuning
Tuesday, November 14, 2023
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Edge 342: Who's Happy Potter? Inside One of the Most Fascinating Papers Published This Year
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The Sequence Chat: Nathan Benaich, Air Street Capital About Investing in Generative AI
Wednesday, November 8, 2023
A conversation about the state of the generative AI market, new research breakthroughts, open source , opportunities for startups and many other insights.
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