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.

Abstract: Legged robots are supposed to traverse complicated environments, which makes it challenging to design a model-based controller due to their functional complexity. Currently, using deep ...

Abstract: Traditional Adaptive Modulation and Coding (AMC) techniques rely on real-time and accurate Signal-to-Noise Ratio (SNR) estimates, but often resulting in suboptimal data transmission ...

Coding can help students understand the building blocks of world languages, and it provides an authentic way to tell stories. As a Spanish and STEAM educator, I have many opportunities to try ...

CNBC put the AI threat to software companies to the test by vibe-coding a version of the tools from Monday.com. Silicon Valley insiders say the most exposed software names are the ones that "sit on ...

Goose acts as the agent that plans, iterates, and applies changes. Ollama is the local runtime that hosts the model. Qwen3-coder is the coding-focused LLM that generates results. If you've been ...