Models

which have pervaded nearly every facet of our day by day lives are autoregressive decoder models. These models apply compute-heavy kernel operations to churn out tokens one after the other in a way...

: Overparameterization, Generalizability, and SAM The dramatic success of recent deep learning — especially within the domains of Computer Vision and Natural Language Processing — is built on “overparameterized” models: models with good enough parameters to memorize the training data...

By now, ChatGPT, Claude, and other large language models have accrued a...

took the world of autonomous driving by storm with their recent AlpamayoR1 architecture integrating a big Vision-Language Model as a causally-grounded reasoning backbone. This release, accompanied by a brand new large-scale dataset and...

Whether you’re a scientist brainstorming research ideas or a CEO hoping to...

of Claude Code, Anthropic’s ubiquitous command-line coding tool, but baulk at the prices of using it, Ollama recently gave you a late Christmas present.  Just a few weeks ago, they announced that their latest...

, context really is every thing. The standard of an LLM’s output is tightly linked to the standard and amount of knowledge you provide. In practice, many real-world use cases include massive contexts: code...

Segment Anything Model 3 (SAM3) sent a shockwave through the pc vision community. Social media feeds were rightfully flooded with praise for its performance. SAM3 isn’t just an incremental update; it introduces Promptable...