New 3h31m video on YouTube: "Deep Dive into LLMs like ChatGPT" This is a general audience deep dive into the Large Language Model (LLM) AI technology that powers ChatGPT and related products. It is covers the full training stack of how the models are developed, along with mental

We made 5 challenges and if you score 47 points we'll offer you $500K/year + equity to join us at 🦥Unsloth AI! No experience or PhD needed. $400K - $500K/yr: Founding Engineer (47 points) $250K - $300K/yr: ML Engineer (32 points) Challenges: 1. Convert nf4 / BnB 4bit to

10 MCP, AI Agents, and RAG projects for AI Engineers (with code):

2025 is shaping up to be the "year of AI agents". We've put together a list of startup ideas that we think are especially promising— some draw attention to trends that are already in full swing, and some of them are where we think things are going next. ycombinator.com/rfs

🥹 Parisiennes, Parisiens, vous êtes en finale de la LIGUE DES CHAMPIONS ! #PSGARS I #UCL

Over 1.5M models on Hugging Face… How do you pick the right one for your needs? 🔍 Try this semantic search prototype with size filters (0-1B to 70B+): 🔗 huggingface.co/spaces/librari…

50 key questions explaining core LLM concepts, v/Hao Hoang: bit.ly/45aq6Zn

Every AI dev should know how to implement these types of agentic systems. All important building blocks for developing advanced agentic AI systems. Learn it once and apply it everywhere. Check out my new 4.5 hr course (with code examples) to learn more:

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

Who is a Full-stack AI Engineer? Production-grade AI systems demand a deep understanding of how LLMs are engineered, deployed, and optimized. Here are the 8 pillars that define serious LLM development:

This guy literally shows how to go from zero to AI engineer for free

Chelsea, Chelsea. 🔵 #CFC | #CHEBHA

Your next professional headshot is a prompt away. Generate polished, business-ready headshots and creative portraits with Nano Banana—no expensive equipment or complex editing software needed. Here are a few prompting tips to consider 🧵

Google ADK is my favorite agentic framework. I've tried Langraph, CrewAI, and a bit of OpenAI's Agents SDK, and I really like what Google has done. Google ADK is the centerpiece that connects your agents to the rest of the world: • To connect with tools, you can use the MCP

👋ICYMI: the Gemini Live API merges together speech-to-text, multimodal LLM understanding, and text-to-speech (for hundreds of languages!) into a single API call:

Make the most of your weekend. Don't sleep on this. Stanford's Autumn 2025 Transformers & LLMs course. 7 lectures. Free. While others scroll, you could understand how Flash Attention achieves 3x speedup, how LoRA cuts fine-tuning costs by 90%, and how MoE makes models

You can now fine-tune LLMs and deploy them directly on your phone! 🚀 We collabed with PyTorch so you can export and run your trained model 100% locally on your iOS or Android device. Deploy Qwen3 on Pixel 8 and iPhone 15 Pro at ~40 tokens/sec. Guide: docs.unsloth.ai/new/deploy-llm…

Nous poursuivons l'installation du wifi très haut débit à bord de nos avions, permettant de profiter gratuitement d’une qualité de service stable, rapide et sécurisée. En cette fin d'année, déjà 30% de notre flotte est équipée et la totalité le sera fin 2026.

👉 Awesome AI Residency Programs In this github repo, You'll find curated AI and ML Residency Programs from top companies like Apple, Facebook, OpenAI, IBM, Uber, Microsoft, Google, NVIDIA, Intel and more.

Announcing Built with Opus 4.6: a Claude Code virtual hackathon. Join the Claude Code team for a week of building. Winners will be hand-selected to win $100K in Claude API credits. Apply here: cerebralvalley.ai/e/claude-code-…