Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI

Karpathy proposes something simpler and more loosely, messily elegant than the typical enterprise solution of a vector ...
dbta

Franz Announces New Version of its Knowledge Graph Visualization App

Franz Inc., an early innovator in artificial intelligence (AI) and leading supplier of knowledge graph technology for Neuro-Symbolic AI applications, is introducing Gruff 9, a web-based advanced ...
TDWI

Agentic BI Is Still Not Ready for Enterprise Prime Time

Weakness at quantitative reasoning: LLMs struggle with rigorous numeric analysis compared to traditional BI tools. They often commit arithmetic errors in multi-step calculations. They may misinterpret ...
Hackaday

An Animated Walkthrough Of How Large Language Models Work

If you wonder how Large Language Models (LLMs) work and aren’t afraid of getting a bit technical, don’t miss [Brendan Bycroft]’s LLM Visualization. It is an interactively-animated step-by-step ...
TechCrunch

Nvidia launches new services for training large language models

As interest around large AI models — particularly large language models (LLMs) like OpenAI’s GPT-3 — grows, Nvidia is looking to cash in with new fully managed, cloud-powered services geared toward ...
Search Engine Land

LLM optimization in 2026: Tracking, visibility, and what’s next for AI discovery

Marketing, technology, and business leaders today are asking an important question: how do you optimize for large language models (LLMs) like ChatGPT, Gemini, and Claude? LLM optimization is taking ...
TechRadar

9 reasons why you should consider onsite LLM training and inferencing

Running large language models at the enterprise level often means sending prompts and data to a managed service in the cloud, much like with consumer use cases. This has worked in the past because ...