Wondering where to find data for your Python data science projects? Find out why Kaggle is my go-to and how I explore data with Python.

Sarvam AI's 105B is a genuine engineering achievement. But India still lacks a trusted, independent institution to verify whether its sovereign models perform as claimed.

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

This is a learner-focused project where you'll build a complete research assistant system that automatically fetches academic papers, understands their content, and answers your research questions ...

Fara-7B is Microsoft's first agentic small language model (SLM) designed specifically for computer use. With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that ...

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

Bring Your Own Key (BYOK) functionality for OpenRouter allows users to seamlessly incorporate stateful capabilities ...

This April will mark a decade since CMS launched the Comprehensive Care for Joint Replacement model, the federal government’s first mandatory, episode-based payment program applied broadly to ...

In this tutorial, we build an advanced, end-to-end learning pipeline around Atomic-Agents by wiring together typed agent interfaces, structured prompting, and a compact retrieval layer that grounds ...