Why is a Chinese quant shop behind one of the world’s strongest open-weight LLMs? It turns out that modern quantitative ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
One of the leading new AI-based tokens in the cryptocurrency market is Ozak AI. New investors are joining the Ozak AI Presale phase, and many investors are movi ...
Neel Somani on the Mathematics of Model Routing LOS ANGELES, CA / ACCESS Newswire / January 21, 2026 / The rapid scaling of ...
Transformer on MSN
Teaching AI to learn
AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models.
Google researchers have revealed that memory and interconnect are the primary bottlenecks for LLM inference, not compute power, as memory bandwidth lags 4.7x behind.
If you’re reading this, you probably have some fondness for human-crafted language. After all, you’ve taken the time to ...
This brute-force scaling approach is slowly fading and giving way to innovations in inference engines rooted in core computer ...
While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
Arabian Post on MSN
Encrypted training offers new path to safer language models
A research team from the University of Tokyo has outlined a new approach to training large language models that aims to curb sensitive data leakage while preserving performance, addressing one of the ...
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