🚨 Wow. Someone just built a Claude Code skill that clones any website in a single prompt 🤯 It uses the built-in Chrome's MCP to pull fonts, colors, and layout straight from the source. 100% free and open source. Repo link in 🧵↓

MIT and Yale playlist were good ones

We take randomness for granted. Early PRNGs were BAD. Thousands of scientific papers used to rely on RANDU, created by IBM in the 1960s. In 1D space, it looks ok! Map in 3D…you start to see the issues. Now, there *was* a better solution...but it would cost you.

Time to build in public ⏳

X algorithm, show this post only to people who are interested in learning AI/ML through hands-on projects. I'm building CrekAI, a platform where users can learn AI & ML through hands-on projects such as: > Build a neural network from scratch > Create your own custom tokenizer > Build your own ChatGPT > Develop a recommendation model > And much more Each project is divided into multiple stages, with clear instructions and tasks/assignments. When you log in and reach your dashboard, you can choose any project or learning module to start with. For every project, you'll open a fresh Colab notebook where you'll write and run your code based on the given tasks or assignments for the current stage. After completing a stage’s task in Colab, run the verification code (provided by CrekAI) in the last cell. If it passes, the next stage unlocks automatically. @grok what do you think about this project?

Introducing Eleven Music. The highest quality AI music model. - Complete control over genre, style, and structure - Multi-lingual, including English, Spanish, German, Japanese and more - Edit the sound and lyrics of individual sections or the whole song

Ugandan’s digital music tracking is only safe with Mwonya @MwonyaStreamUG

Excited to share a peek of what I’ve been working on We @sesame believe voice is key to unlocking a future where computers are lifelike Here’s an early preview you can try! 👇 We’ll be open sourcing a model, and yes… we’re building hardware! 🧵

Dear Artists, We’re excited to introduce Mwonya Creator portal creator.mwonya.com ✅ For New Artists: Sign up and register as a new artist to start showcasing your work. ✅ For Record Labels & Group Artists: Sign up, create a label/group, and add artists

Math is the language of the universe, shaping everything from natural pattern to modern technology. Mastering it unlocks endless possibilities. Here's a free resources for those seeking a solid foundation in fundamental math concepts and the discipline to self-learn effectively

If you are looking for a Research Scientist / Engineer or a Research Intern position (summer 2025) at @GoogleDeepMind , please fill the form below. Experience with LLM and RL is a plus.

Let's build a mini-ChatGPT that's powered by DeepSeek-R1 (100% local):

🎶 Ugandan Urban Music, Like You’ve Never Heard Before! 🇺🇬🔥 —streaming live! [Credits to all the artists] 👉 youtube.com/live/y0AsiA63F8U… Curated playlists, fresh vibes, and live beats #UgandanMusic #UrbanVibes #LiveNow

Understand fore you yap! (Transformer) jalammar.github.io/illustrat…

I flipped through 300 pages of deep learning math puzzles by hand ✍️ This is the proof copy of the "Deep Learning Math Workbook" I made to help you learn and practice 12 foundational math concepts below👇

one of the best resources to learn the basics

Here's the link -- it was fun reading through the codebase and the paper as well, it's good work github.com/bytedance/monolit…

The only fine-tuning guide you need for 2025 ‼️ Excited to share “How to fine-tune open LLMs in 2025 with @huggingface” covering everything from Q-LoRA to Spectrum methods with focus on optimization, efficiency and distributed training. 👀 Fine-tuning still matters for specialized use cases despite better models - especially for consistency, domain expertise, controlling output style, or reducing costs. In this guide, you will learn how: 🎯 Define good use cases for fine-tuning vs. prompting 🛠️ Set up your development environment using Hugging Face libraries 📚 Create and prepare datasets in conversation format ⚡ Use Q-LoRA for efficient 4-bit training or Spectrum method to selectively fine-tune important layers 💨 Speed up training with Flash Attention and Liger Kernels 💻 Scale across multiple GPUs with DeepSpeed and accelerate 📊 Test and evaluate models with evaluation harness 🔥 Run for production using TGI/vLLM

🚨💔Last Moments Before Disaster. 😢 A THREAD 🧵