MeMo's memory model lets teams upgrade their LLM without retraining it — and performance jumps 26%

Researchers' MeMo keeps AI memory separate from reasoning, so teams can upgrade their LLM without retraining it and see a 26% ...
SiliconANGLE

Vectara raises $25M, debuts new RAG-optimized Mockingbird model

Vectara Inc., a startup that helps enterprises implement retrieval-augmented generation in their applications, has closed a $25 million early-stage funding round to support its growth efforts. The ...
Crypto Briefing

MIT’s MeMo framework boosts LLM performance by 26% without retraining

MIT's MeMo framework trains a compact memory model that boosts LLM performance by up to 26.73% without retraining, with major implications for crypto AI agents.

Beyond RAG: Why every AI search platform is now agentic and what that means for your content

AI search has outgrown simple RAG. Learn how today’s hidden AI retrieval systems decide whether your content gets surfaced or ...
Fast Company

Can RAG solve generative AI’s problems?

The Fast Company Impact Council is an invitation-only membership community of top leaders and experts who pay dues for access to peer learning, thought leadership, and more. BY Julius Černiauskas ...
InfoWorld

What is retrieval-augmented generation? More accurate and reliable LLMs

Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models. Retrieval-augmented generation (RAG) is a ...
https//fedtechmagazine.com

How RAG Boosts Agency Accuracy and Security

Alexander Slagg is a freelance writer specializing in technology and education. He is an ongoing contributor to the CDW family of magazines. Agencies awash in oceans of data might seem like an ideal ...