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Meet the eight members of the Expert Council on Well-Being and AI and learn how we’ll work together. openai.com/index/expert-c…
🚨 Prompt engineering is dead. Context engineering is the new game. Anthropic just dropped their internal playbook and it changes everything: → Context is finite. Every token depletes attention budget. → Models lose focus as context grows (they call it "context rot") → Best…
Great recap of security risks associated with LLM-based agents. The literature keeps growing, but these are key papers worth reading. Analysis of 150+ papers finds that there is a shift from monolithic to planner-executor and multi-agent architectures. Multi-agent security is…
🤖 Advanced Stock Research Agent A multi-agent system built with LangChain's DeepAgents that delivers professional stock analysis by combining real-time data, technical indicators, and financial examination. Check it out here 🔍 medium.com/@sagarnreddy/i…
Anthropic dropped the best free masterclass on prompt engineering
Context Engineering Template for AI Agents. 100% Opensource.
the rumor is openai drops “agent builder” tomorrow and wow, if that's true thats a BIG DEAL for the 12 months, people have been stitching together tools like n8n, zapier, make, vapi, and claude workflows to simulate autonomy. it worked but it was duct tape. now IMAGINE that…
You're in a Research Scientist interview at OpenAI. The interviewer asks: "How would you expand the context length of an LLM from 2K to 128K tokens?" You: "I will fine-tune the model on longer docs with 128K context" Interview over. Here's what you missed:
This guy literally built an AI agent that replaced his entire team. Now it runs the whole business — 24/7, zero burnout.
Stanford Deep Learning for Computer Vision taught by Professor Fei-Fei Li (@drfeifei) and Assistant Professor Ehsan Adeli. Such an enjoyable YT series. (link in comment)
Fei-Fei Li (@drfeifei) on limitations of LLMs. "There's no language out there in nature. You don't go out in nature and there's words written in the sky for you.. There is a 3D world that follows laws of physics." Language is purely generated signal.
How do you build effective AI Agents? This is a problem I think deeply about with other AI devs and students. Simplicity works well here. I think we can all learn a lot from how Claude Code works. The Claude Agent SDK Loop generalizes the approach to build all kinds of AI…
MCP is getting so good! Most developers think MCP is just another tool calling standard, but that’s just scratching the surface. Here's what makes MCP powerful (explained with examples): Unlike simple tool calling, MCP creates a two-way communication between your AI apps and…
IBM just dropped a new Multimodal Model for Document AI! Granite-Docling-258M is a tiny, ultra-compact, vision-language model specifically designed for end-to-end document conversion. 100% Open Source
🏆📚This 200-Page LLM Paper Is a 𝗚𝗼𝗹𝗱𝗺𝗶𝗻𝗲 — and it’ll save you months 𝗣𝗿𝗼𝗺𝗽𝘁𝗶𝗻𝗴, 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴, 𝗮𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁 — finally crystal clear. If you don’t have time to read all 200+ pages, here are the most valuable 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀 ↓ 》…
I found a 100% open source multi-agent workforce that runs locally! Eigent is a desktop application that lets you build, manage, and deploy custom agent workforces to turn complex workflows into automated tasks. 100% Open Source
🤖🌐 ParserGPT: Smart Web Scraping Transform messy websites into clean CSV data using LLMs and deterministic rules. Powered by LangChain and LangGraph, ParserGPT learns website structures once to enable efficient, repeated data extraction. Learn more about ParserGPT:…
AI Engineering roadmap covering 1000+ top AI research papers and GitHub repos. Available on GitHub 100% free.
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