Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
AI in architecture is moving from experimentation to implementation. An AJ webinar supported by CMap explored how practices are applying these tools to live projects, construction delivery and operati ...
Are AGENTS.md files actually helping your AI coding agents, or are they making them stupider? We dive into new research from ETH Zurich, real-world experiments, and security risks to find the truth ...
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.
Why Most Retrieval-Augmented Generation Systems Fail Online Retailers — And the Practical Fixes That Turn Customer Interactions Around ...
Agent skills shift AI agents toward procedural tasks with skill.md steps; progressive disclosure reduces context window bloat in real use.
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.
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