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

In the rapidly evolving landscape of enterprise AI, Multi-Agent Retrieval-Augmented Generation (MARS) systems are emerging as a cornerstone technology. These sophisticated systems, developed in ...

Dhruv Roongta is the Co-Founder & CTO of Slashy, a startup building general AI agents.

Success with agents starts with embedding them in workflows, not letting them run amok. Context, skills, models, and tools ...

Let’s get started with the frameworks and know about them in depth. Langchain is an open-source framework that enhances and simplifies the development of apps powered by large language models (LLMs) ...

Training standard AI models against a diverse pool of opponents — rather than building complex hardcoded coordination rules — ...

Struggling with the limitations of cloud-based AI models and looking for a way to run powerful AI locally? Meta’s Llama 3.1 might be the solution you’ve been searching for. With the ability to run on ...

AI teams are discovering that the most expensive part of an agent is not the model, it is the memory strategy wrapped around it. Retrieval-Augmented Generation has become the default pattern for ...

TechCrunch was proud to host SingleStore at Disrupt 2024 in San Francisco. Here’s an overview of their SaaS Stage session. On the Disrupt SaaS Stage, SingleStore explored a live retrieval-augmented ...

Join SingleStore to explore a live Retrieval-Augmented Generation (RAG) application that combines real-time streaming data with vast amounts of point-in-time data, achieving near-zero latency in AI ...