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.
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Moving from quantitative analysis to automated decision making
Today, serious trading runs on systems. Decisions are written in code. Orders are triggered automatically.
Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
Financial advisors who are curious about vibe coding have many free or relatively cheap options to help them get started.
This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...
Tycoon2FA has become a leading phishing-as-a-service (PhaaS) platforms, enabling campaigns that reach over 500,000 organizations monthly, prompting Microsoft’s Digital Crimes Unit (DCU) to work with ...
Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.
In our last post, we compared India's new sovereign AI, Indus by Savam, with the behemoth ChatGPT. And to our surprise, the ...
AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...
Claude Code is the new AI coding assistant that many users are using in their workflows. Here's everything you need to know ...
During an intensive two-day seminar, Sports Management students examined governance frameworks, prompt literacy, and ...
A new simulation shows large amounts of hydrogen in our planet’s core. And, what scientists found in 290-million-year-old vomit.
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