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Literally a beast of a book. Emphasizes heavily on code and modern deep learning architectures Important concepts are highlighted so it’s easier to understand and focus.

v0 can now: • Create and run full-stack Next.js and React applications • Create multiple files in one generation • Link and deploy to Vercel projects • Use Vercel project environment variables

REDUCIO! Generating 1024×1024 Video within 16 Seconds using Extremely Compressed Motion Latents code: github.com/microsoft/Redu… paper: arxiv.org/abs/2411.13552

The Algorithm Design Manual - Practical approach - Real-world examples - Problem-solving strategies - Good book for someone trying to understand algorithms - It will require some understanding of any language. - Resources: github.com/mohitmishra786…

📈 The State of Generative AI in the Enterprise Interesting report from Menlo Ventures that shows the evolution of Gen AI in companies from 2023 to 2024: • Uses cases: Code generation, chatbots, search, data, and meeting summarization are the top generative AI use cases in

Less than 48 hours ago, DeepSeek AI from China just dropped their AI reasoning model. And it's on par with OpenAI o1-preview. Major shift. 10 examples (and how to try):

Linux Boot Process Explained.

A small number of people are posting text online that’s intended for direct consumption not by humans, but by LLMs (large language models). I find this a fascinating trend, particularly when writers are incentivized to help LLM providers better serve their users! People who post

Introducing llms.txt Generator ✨ You can now concatenate any website into a single text file that can be fed into any LLM. We crawl the whole website with Firecrawl and extract data with gpt-4o-mini. Create your own llms.txt at llmstxt.firecrawl.dev!

You can finetune Llama-3.2-Vision-11B for free on Colab now! Unsloth finetunes VLMs 2x faster, with 50% less VRAM, 6x longer context - with no accuracy loss. Documentation: docs.unsloth.ai GitHub: github.com/unslothai/unsl… Finetuning Colab: colab.research.google.com/drive/1j0N4XTY…

Vision finetuning is finally in🦥Unsloth AI! It took a while, but Llama 3.2 Vision, Pixtral, Qwen2 VL & all Llava variants now work! 1. QLoRA / LoRA is 1.3x to 2x faster for each 2. 30-70% less VRAM usage 3. 3 examples - Radiography, LaTeX, Q&A Extra stuff: 1. Pixtral chat

Anyone who thinks you need 100k GPUs to make progress should watch Hannaneh Hajishirzi COLM keynote. Molmo appeared to beat Llama 3.2 in quality with same release day, all open-science on a 1k GPU cluster youtube.com/watch?v=qMTzor…

the best part of the book fair hehe

Introducing an all-new suite of tools built on swarms - the production-grade framework for autonomous agent swarms ⎆ Documentation Intelligence ⎆ Cross-language Compilation ⎆ Multi-agent Architecture ⎆ Financial Enterprise Solutions Here's what our lead developer

Distilling LLM Agents! 🧪 New work shows how to transfer the reasoning & task-solving power of large language model agents into smaller, more efficient models by cloning their tool-using behavior with retrieval and code!

Fractal, an Indian AI company, dropped Fathom-R1-14B open-source reasoning model that achieves performance comparable to o4-mini on math benchmarks within a 16K context window, trained for just $499. Built on top of DeepSeek-R1-Distill-Qwen-14B, It beats o3-mini-low.

🚨 Speaker Alert! 🚨 We’re kicking off Le Robot Hackathon Miami (June 14-15) with an amazing panel featuring clem 🤗, Co-Founder & CEO of Hugging Face. Clem turned open-source AI into a global movement—now he’s jetting to the 305 to talk robotics, community, and why the

The Worldwide LeRobot hackathon is in 2 weeks, and we have been cooking something for you… Introducing SmolVLA, a Vision-Language-Action model with light-weight architecture, pretrained on community datasets, with an asynchronous inference stack, to control robots🧵

H Company released Holo-1: 3B and 7B GUI Action Vision Language Models for various web and computer agent tasks 🤗 Holo-1 has Apache 2.0 license and Hugging Face transformers support 🔥 more details in their blog post (next ⤵️)

Today we are releasing ether0, our first scientific reasoning model. We trained Mistral 24B with RL on several molecular design tasks in chemistry. Remarkably, we found that LLMs can learn some scientific tasks more much data-efficiently than specialized models trained from