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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 ...
Ph.D. candidate Yuchen Lian (LIACS) wants to understand why human languages look the way they do—and find inspiration to ...
New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...
Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...
Overview: Large language models in 2026 have evolved into multimodal, highly adaptive systems that deliver complex reasoning with real-time learning.Designed to ...
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 ...
Large language models (LLMs) such as GPT-4o and other modern state-of-the-art generative models like Anthropic’s Claude, Google's PaLM and Meta's Llama have been dominating the AI field recently.
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models. Two years ago, Yuri Burda and Harri ...
Fine-tuned “student” models can pick up unwanted traits from base “teacher” models that could evade data filtering, generating a need for more rigorous safety evaluations. Researchers have discovered ...