Databricks built a RAG agent it says can handle every kind of enterprise search

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

SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning

Natural Language to SQL (NL2SQL) enables intuitive interactions with databases by transforming natural language queries into structured SQL statements. Despite recent advancements in enhancing ...
IEEE

Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering

Abstract: Code snippet adaptation is a fundamental activity in the software development process. Unlike code generation, code snippet adaptation is not a “free creation”, which requires developers to ...
Complex

Drake Takes Aim at 'Double Agents,' Label in New 'Iceman' Snippet: 'Gave 'Em 15 Years of My Soul'

You don’t need us to remind you that Drake’s Iceman album did not arrive in 2025, despite widespread speculation among fans that it would drop before year’s end. Now, just over a month into the new ...