Out-analyzing analysts: OpenAI’s Deep Research pairs reasoning LLMs with agentic RAG to automate work — and replace jobs
Join our daily and weekly newsletters for the latest updates and exclusive…
Researchers find you don’t need a ton of data to train LLMs for reasoning tasks
Join our daily and weekly newsletters for the latest updates and exclusive…
Taking AI to the playground: LinkedIn combines LLMs, LangChain and Jupyter Notebooks to improve prompt engineering
Join our daily and weekly newsletters for the latest updates and exclusive…
Deep dive into LLMs like ChatGPT by Andrej Karpathy (TL;DR)
Who is this deep dive for? A few days ago, Andrej Karpathy…
sauravpanda/BrowserAI: Run local LLMs inside your browser
BrowserAI: Run LLMs in the Browser - Simple, Fast, and Open Source!…
DeepMind’s new inference-time scaling technique improves planning accuracy in LLMs
With "Mind Evolution" LLMs can use search and genetic algorithms to generate…
Self-invoking code benchmarks help you decide which LLMs to use for your programming tasks
LLMs are good at coding simple functions. But how good are they…
OpenSPG/KAG: KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
English | 简体中文 | 日本語版ドキュメント KAG is a logical reasoning and Q&A…
LLMs are everything that it wrong in the world of computing
Monday, 23 Dec 2024 [ Permalink ] For decades corporations have been…
