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AI Agents and Why Big Tech Is Betting on Them for 2025

Jerry Liu on LinkedIn: This weekend learn how to build a legal document agent from scratch…

LLM Resources Hub

Managing CS Quality in the new era of AI

Cheat sheet for Conversational Experiences

Victoria Slocum on LinkedIn: ColPali is changing the game for PDF retrieval by eliminating the need for…

Large Language Model Agents MOOC

Open source — LlamaIndex, Data Framework for LLM Applications

Unify Launches Agents for Account Qualification using LangGraph and LangSmith

imartinez/privateGPT: Interact privately with your documents using the power of GPT, 100% privately, no data leaks

GitHub - microsoft/LMOps: General technology for enabling AI capabilities w/ LLMs and MLLMs

The AI Exchange

Accordion Editing and Apple Picking: Early Generative-AI User Behaviors

Joshua Gene Fechter on LinkedIn: #documentation

Prompt engineering for Claude's long context window

Making Retrieval Augmented Generation Fast | Pinecone

RAG

Introduction To Retrieval Augmented Generation

AI Prompt Library for Educators — AI for Education

Presenting design? Use stories, not real estate tours: a conversation with Jane Austin

How to Get the Right Vector Embeddings - The New Stack

Prompt Engineering 101 for Content Developers | Gamma

Martin Ebers on LinkedIn: UNESCO Guidance Generative AI in Education and Research

Retool | The fastest way to develop effective software.

LLMs-represent-Knowledge Graphs

Ethan Mollick on LinkedIn: A helpful way to start thinking about using ChatGPT for practical purposes… | 27 comments

Should I use Prompting, RAG or Fine-tuning? - Vellum

Large language models aren’t people. Let’s stop testing them as if they were.