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MIT researchers teach AI models to learn from their own notes

Large language models already read, write, and answer questions with striking skill. They do this by training on vast libraries of text. Once that training ends, though, the model’s knowledge largely ...
Large Language Models (LLMs) such as GPT-class systems have entered undergraduate education with remarkable speed, provoking ...
Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those ...
Editor’s Note: Benjamin Jensen, one of the authors of this article, is the host of the new War on the Rocks members-only show, Not the AI You’re Looking For. If you are a member, you can access the ...
Forbes contributors publish independent expert analyses and insights. Hessie Jones is a strategist, entrepreneur and investor covering AI Large language models have emerged as a transformative ...
This is where Collective Adaptive Intelligence (CAI) comes in. CAI is a form of collective intelligence in which the ...
The more closely scientists listen to the brain during conversation, the more its activity patterns resemble the statistical ...
Large language models represent text using tokens, each of which is a few characters. Short words are represented by a single token (like “the” or “it”), whereas larger words may be represented by ...