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

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

Databricks Inc. today announced that it has raised more than $7 billion in equity and debt financing to accelerate its growth efforts. The company first disclosed the investment late last year when it ...

Data analytics company Databricks is in discussions to raise about $5B at a $134B valuation, which is nearly 32 times this year's expected sales of about $4.1B, The Information reported, citing ...

Documenting this here, although I don't think there is anything you can really do to fix this at the moment, Alex. tconbeer/harlequin#880 allows Harlequin to be installed in Python 3.14. But: My ...

This year we’ve seen remarkable advances in agentic AI, including systems that conduct deep research, operate computers, complete substantial software engineering tasks, and tackle a range of other ...

Aug 22 (Reuters) - Databricks will acquire machine learning startup Tecton to expand its AI agent offerings, the latest in a string of deals aimed at offering full-scale AI building tools for ...

Written in Rust, the PyApp utility wraps up Python programs into self-contained click-to-run executables. It might be the easiest Python packager yet. Every developer knows how hard it is to ...

NVIDIA launches Wheel Variants to streamline CUDA-accelerated Python package installation, addressing compatibility challenges and optimizing user experience across diverse hardware setups. NVIDIA has ...

Beta: This SDK is supported for production use cases, but we do expect future releases to have some interface changes; see Interface stability. We are keen to hear feedback from you on these SDKs.

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...