2nd Edition, by @keithbourne v/ @PacktDataML "Unlocking Data with Generative AI and RAG — Learn AI Agent Fundamentals with RAG-powered Memory, Graph-based RAG, and Intelligent Recall" Get the book here: http://
amzn.to/49zsIkb
LLMS
-
New Book: Unlocking Data with Generative AI and RAG, 2nd Edition
By
–
-
Anthropic tops OpenAI in business adoption, but may not last
By
–
Anthropic just passed OpenAI in business adoption for the first time, 34.4% vs 32.3%, per Ramp's latest AI Index. But the same report that announces this spends most of its word count explaining why it probably won't last. Uber already blew through its entire 2026 AI budget. A
-
Business Value of Agentic AI: Three Key Pillars
By
–
What's The #Business Value Of #AgenticAI? Three Key Pillars For Scaling #AIAgents
by Preetpal Singh @Forbes Learn more: https://
buff.ly/Ax4IOkO #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning -
MeMo: Separate Memory Architecture for Language Models
By
–
Researchers just gave LLMs a separate brain for memory. Language models go stale the moment training ends. Updating them risks breaking what they already know. A new paper proposes MeMo. It pairs any LLM with a separate trained memory model. The base model stays frozen.
-
Boring context compaction beats multi-agent systems for most use cases
By
–
I've built multi-agent systems for clients. I still think they're overrated for most use cases. What's underrated is boring. Context compaction. The reason your AI app feels slow and expensive isn't the model. It's everything you keep stuffing into the prompt before it even
-
Request for publication of GPT-4 architecture to clarify water estimates
By
–
Given the scale of water estimates for the "bottle of water per generated email" that come from assumptions about GPT-4's architecture, it would be greatly in the interest of @OpenAI to publish the architecture of this now-retired, three-year-old model.
-
Top AI News: Google’s Math Breakthroughs, AI Secretary, and Critical Vulnerabilities Found
By
–
Top stories in AI today: – Google’s AI cracks nine unsolved math problems
– The Rundown Roundtable: Our AI use cases
– Build an AI secretary that plans your day
– Claude Mythos finds 10,000+ critical vulnerabilities
– 4 new AI tools, community workflows, and more -
How AI Agents Manage Goals and Objectives
By
–
How #AIAgents Manage Goals and Objectives
by @e_opore #AI #LLM #ArtificialIntelligence #MachineLearning #ML -
C++ Inference Engine for NVFP4 without MTP
By
–
I believe this is without MTP C++ Inference Engine that's highly optimized for NVFP4
-
Chinese AI models are now leading and frontier
By
–
That's outdated Chinese models are already leading and frontier: Alibaba, Kimi, Xiaomi, Z AI