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this is a solid guide on reinforcement learning for LLMs by Unsloth AI. it covers all you need to get to the point. No unnecessary jargon. goes through RL and why it’s needed, why some models like o3 use RL, explains GRPO, RLHF, PPO. you will also train your own local R1

Anthropic just dropped free AI courses on: - Prompt Engineering - Building Agents - Best Practices for Agentic Coding - Collaborating with AI Systems ...and so much more! Here are 9 best guides you don’t want to miss:

R.I.P Gartner. Now you don’t need expensive analyst subscriptions anymore. You can generate full industry reports using any LLM ChatGPT, Claude, DeepSeek, Gemini, Qwen3 and public data. Here’s the prompt that turns any LLM into a full-stack market research analyst for free:

Understanding P-Values is essential for improving regression models. In 2 minutes, I'll crush your confusion. Let's go:

Top 50 LLM Interview Questions! A comprehensive resource that covers traditional ML basics, model architectures, real-world case studies, and theoretical foundations.

Create RAG Agents from websites in less than 60 seconds. Just enter a URL and get a full RAG pipeline with smart crawling, vector search, and streaming responses. 100% Opensource with Nocode.

I copied the Multi-Agent Research System by Anthropic. Pure Nathan Apple. No coding! How Does it Work? 🧵 (1/14)

A RAG engine for deep document understanding! RAGFlow lets you build enterprise-grade RAG workflows on complex docs with well-founded citations. Supports multimodal data understanding, web search, deep research, etc. 100% local & open-source with 55k+ stars!

AI agent tools have exploded and most people are still guessing what to use when. So I started mapping out what each one is actually built for. If you're building anything beyond a demo, the tool you choose matters early. Here’s a clear breakdown, depending on what you’re

New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and

5 MCP Servers We Recommend Our new guide to the MCP starter pack demonstrates how to integrate web search, live documentation, and browser automation directly into your Cline workflow. Equip Cline with the right context at the right time. 🧵

Transform any document into LLM-ready data! Docling is an open-source Python package that makes document parsing effortless. Docling also supports audio. Just drop in a .mp3 or .wav file and get clean, structured text using Automatic Speech Recognition. 100% Open Source

MCP is redefining what AI can do, and 95% of builders haven't caught on. I've built agents that run my calendar, organize files, and manage tasks. All autonomous. The results changed how I think about automation. I'm breaking down exactly how MCP works (with code + examples):

Foundations of Large Language Models

Gemini CLI can automate your computer using MCP 🔥 Add Windows MCP (or macOS MCP) to Gemini CLI and you can tell it what to do autonomously. Gemini then takes control of your entire system to achieve the goal you've set. Links below

Build autonomous browsing AI Agents in minutes. It uses vision AI to interact with any interface, just like humans do. Works with Claude 4 Sonnet and Qwen 2.5 VL. 100% Opensource.

Open-source Chrome MCP Server to let AI control, analyze, and search your browser.

7 MCP projects for AI Engineers: (with video tutorials)

Anthropic dropped the best free masterclass on prompt engineering

🔥 Today in AI & ML — What’s hot 🧠 From ethical AI to robot soccer, PS6, LLM tools & real-world use cases — here’s a roundup of the most interesting updates: 🧵👇 🧬 AI in healthcare MAI GPT pushes AI forward in health, but ethics matter: data privacy & fairness are key.🔗