Martial arts robots may play well on stage, but can they get work done? A look at what it takes to deliver the reliability and safety required for autonomous robotic systems ...
As hiring trends evolve in 2026, professionals are urged to ensure their resumes include these five must-have AI skills to ...
XDA Developers on MSN
Qwen3.5-9B tops every AI benchmark right now, but that's not how you should pick a model
There's a lot more to a model than just benchmarks.
Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.
Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...
Overview: Python libraries help businesses build powerful tools for data analysis, AI systems, and automation faster and more efficiently.Popular librarie ...
Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
Abstract: Repository-level code completion aims to generate code for unfinished code snippets within the context of a specified repository. Existing approaches mainly rely on retrievalaugmented ...
Abstract: Code optimization is a crucial task that aims to enhance code performance. However, this process is often tedious and complex, highlighting the necessity for automatic code optimization ...
REC-R1 is a general framework that bridges generative large language models (LLMs) and recommendation systems via reinforcement learning. Check the paper here.
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