Large language models (LLMs) have shown great promise in automating data science workflows, but existing models still struggle with multi-step reasoning and tool use, which limits their effectiveness ...

Self-host Dify in Docker with at least 2 vCPUs and 4GB RAM, cut setup friction, and keep workflows controllable without deep ...

I discuss what open-source means in the realm of AI and LLMs. There are efforts to devise open-source LLMs for mental health guidance. An AI Insider scoop.

Maybe it was finally time for me to try a self-hosted local LLM and make use of my absolutely overkill PC, which I'm bound to ...

This is a guest post by Tim Allen, principal engineer at Wharton Research Data Services at the University of Pennsylvania, a member of the Readers Council and an organizer of the Philadelphia Python ...

The growing context lengths of large language models (LLMs) pose significant challenges for efficient inference, primarily due to GPU memory and bandwidth constraints. We present RetroInfer, a novel ...