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

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.

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

Cove Street Capital analyzes the AI market mania and shifting software valuations. Read the full analysis for more details.

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

Google has released a minor version update to the API, version 23.1. This update has changes to account management, campaigns ...

The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

Humble Bundle states that all 16 courses have a value of $800 (~R12 925.16) so a $28.75 (~R464.50) minimum for that content is quite a substantial discount. While there is talk of an AI bubble, the ...

Discover how quantitative analysts, or quants, use advanced mathematical models to predict market trends and identify lucrative investment opportunities.