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Self-improving language models are becoming reality with MIT's updated SEAL technique
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 underp [...]
Algorithms from the 1980s power today's AI breakthroughs, earn Turing Award for researchers
Andrew Barto and Richard Sutton have won the 2024 A.M. Turing Award for developing key technologies that power modern artificial intelligence, including recent breakthroughs in large reasoning models. [...]
Turing Award winner Richard Sutton says pure generative AI can't do real science
Turing Award winner Richard Sutton sees a central weakness in conventional generative AI: it can't evaluate its own results. Without that ability, real scientific discovery remains impossible: no [...]
MIT's new fine-tuning method lets LLMs learn new skills without losing old ones
When enterprises fine-tune LLMs for new tasks, they risk breaking everything the models already know. This forces companies to maintain separate models for every skill.Researchers at MIT, the Improbab [...]
Nvidia researchers boost LLMs reasoning skills by getting them to 'think' during pre-training
Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason. The method, called reinforcement learning pre-training (RLP), integrates [...]
How to build custom reasoning agents with a fraction of the compute
Training AI reasoning models demands resources that most enterprise teams do not have. Engineering teams are often forced to choose between distilling knowledge from large, expensive models or relying [...]
Google finds that AI agents learn to cooperate when trained against unpredictable opponents
Training standard AI models against a diverse pool of opponents — rather than building complex hardcoded coordination rules — is enough to produce cooperative multi-agent systems that adapt to eac [...]
Google’s new AI training method helps small models tackle complex reasoning
Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning task [...]