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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 [...]
Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem
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 trai [...]
Formula E will finally debut its fast-charging pit stops this weekend
After announcing initial plans two years ago, Formula E is finally ready to deploy its fast-charging pit stops in an official race. At the Jeddah E-Prix in Saudi Arabia this weekend, the all-electric [...]
Baidu just dropped an open-source multimodal AI that it claims beats GPT-5 and Gemini
Baidu Inc., China's largest search engine company, released a new artificial intelligence model on Monday that its developers claim outperforms competitors from Google and OpenAI on several visio [...]
Thinking Machines challenges OpenAI's AI scaling strategy: 'First superintelligence will be a superhuman learner'
While the world's leading artificial intelligence companies race to build ever-larger models, betting billions that scale alone will unlock artificial general intelligence, a researcher at one of [...]
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 [...]
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 [...]
Fine-tuning forgets. RAG leaks context. Hypernetworks build the model your agent needs on demand.
Enterprise teams keep watching the same thing happen. An AI agent demos beautifully, goes to production, and stalls: it runs for a short stretch, then needs a human to top up its context and check its [...]
Mistral AI launches Forge to help companies build proprietary AI models, challenging cloud giants
Mistral AI on Monday launched Forge, an enterprise model training platform that allows organizations to build, customize, and continuously improve AI models using their own proprietary data — a move [...]