Announcing How Transformer LLMs Work, created with @JayAlammar and @MaartenGr, co-authors of the beautifully illustrated book, “Hands-On Large Language Models.” This course offers a deep dive into the inner workings of the transformer architecture that powers large language

Introducing our latest breakthrough in AI search and retrieval: Rerank 4! It’s the most advanced set of reranking models on the market, with best-in-class performance across search relevance, speed, deployment flexibility, multilingual support, and domain-specific understanding.

Thrilled to share that @annadgoldie and I are launching @RicursiveAI, a frontier lab enabling recursive self-improvement through AIs that design their own chips. Our vision for transforming chip design began with AlphaChip, an AI for layout optimization used to design four

We just raised a $7M Seed round co-led by @MenloVentures and @haystackvc with participation from @Shakti_VC, @conviction and @upfrontvc 🚀 We're honored to have the support of incredible angels including @ericschmidt, @SebastianThrun, @sarahookr Join us: https://t.co/IKwK8KsG96

Our team presented the process behind Command A Translate, our model that set a new industry standard for secure, enterprise-ready translation at WMT 2025 this month. In our paper, we demonstrate our training and evaluation details, including the data preparation pipeline that

@ArcadiaScience UMAP is everywhere because it's great at creating visually distinct clusters from high-dimensional data like gene expression. But there's a catch: the nonlinear mapping makes it hard to interpret which features are responsible for those clusters. https://t.co/IE1pSB6enH [2/8]