AI/ML

Tim Kellogg shares his notes on a new paper, [s1: Simple test-time scaling](https://arxiv.org/abs/2501.19393), which describes an inference-scaling model fine-tuned on top of Qwen2.5-32B-Instruct for just $6 - the cost for …

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

DeepSeek R-1 is the most powerful open-source reasoning model that performs on par with OpenAI's o1 model. Run the 1.58-bit Dynamic GGUF version by Unsloth.

A detailed look at the DeepSeek-R1 model, and how to run it locally.

I wanted to refresh my knowledge of how the Datasette permissions system works today. I already have [extensive hand-written documentation](https://docs.datasette.io/en/latest/authentication.html) for that, but I thought it would be interesting to …

GitHub Gist: instantly share code, notes, and snippets.

OpenAI-compatible API server for simonw's llm cli. Contribute to irthomasthomas/llm-model-gateway development by creating an account on GitHub.

Msty is the perfect alternative to LM Studio. Msty offers a powerful and intuitive interface that makes it easy to get started, even for beginners. Say goodbye to complexities and embrace the simplicity with Msty. With innovative features like Folders, Vapor Mode, and Workspaces, Msty makes you more productive than you ever got with LM Studio.

The DeepSeek Narrative Takes the World by Storm DeepSeek took the world by storm. For the last week, DeepSeek has been the only topic that anyone in the world wants to talk about. As it currently s…

The controversy around DeepSeek's costs for training their R1 model shook up the markets, but it seems like there was a lot of deception.

We strive to regularly add new elements and new technologies for our to enhance the power of Transkribus. One of these technological elements are the Super Models for text recognition, which are the most advanced models we can offer so far.

Guides, documentation and more

Extract clean data from anywhere, powered by vision-language models ⚡ - emcf/thepipe

Learn how to use the handwritting recognition Classification API (v1, 2023-10-08 12:56pm), created by LinhBau

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc. - JaidedAI/EasyOCR

Tom Gally is a [professional translator](https://gally.net/translation.html) who has been exploring the use of LLMs since the release of GPT-4. In this Hacker News comment he shares a detailed workflow for …

A unified multimodal understanding and generation model.

A snappy, keyboard-centric terminal user interface for interacting with large language models. Chat with ChatGPT, Claude, Llama 3, Phi 3, Mistral, Gemma and more. - darrenburns/elia

MiniCPM-o 2.6: A GPT-4o Level MLLM for Vision, Speech and Multimodal Live Streaming on Your Phone - OpenBMB/MiniCPM-o

Goodbye, Digital Natives. Hello, AI Natives

QWEN CHAT GITHUB HUGGING FACE MODELSCOPE DISCORD We release Qwen2.5-VL, the new flagship vision-language model of Qwen and also a significant leap from the previous Qwen2-VL. To try the latest model, feel free to visit Qwen Chat and choose Qwen2.5-VL-72B-Instruct. Also, we open both base and instruct models in 3 sizes, including 3B, 7B, and 72B, in both Hugging Face and ModelScope. The key features include: Understand things visually: Qwen2.

Learn how to build a VS Code Extension from scratch. In this fun tutorial, we integrate DeepSeek R1 direction into our editor to build a custom AI assistant. Go Deeper https://fireship.io/courses Related Content: VS Code Extension Template https://code.visualstudio.com/api/get-started/your-first-extension Ollama DeepSeek R1 https://ollama.com/library/deepseek-r1 DeepSeek R1 First Look https://youtu.be/-2k1rcRzsLA DeepSeek Fallout https://youtu.be/Nl7aCUsWykg

Janus-Series: Unified Multimodal Understanding and Generation Models - deepseek-ai/Janus

Last week I introduced you to Crawl4AI - an open source and LLM friendly web scraper that makes it super easy to crawl any website and format it for a RAG knowledgebase for your AI agent. I even created a full AI agent as a follow up video that leverages this knowledgebase I created with Crawl4AI. A TON of you asked me to do the same thing in n8n, so here it is! In this video I show you exactly how to deploy Crawl4AI super easily with Docker and leverage it within your n8n workflows to crawl website pages in seconds. We even build a simple AI agent that uses this knowledgebase to become an expert at the documentation for Pydantic AI - my favorite AI Agent framework right now! There are a lot of ways to crawl websites, but many of them are expensive, slow, and/or difficult to work with. Crawl4AI on the other hand is easy to use, fast, and completely free since it is open source. The only thing you have to pay for is the machine in the cloud to run your crawler, and that’s only if you aren’t just running it on your computer! ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Check out TEN Agent now (completely open source!) and see how easy it is to get started building voice AI agents for free: GitHub repo: https://github.com/TEN-framework/TEN-Agent Playground: https://agent.theten.ai/ If you aren't aware, voice agents are one of the biggest needs businesses have right now, so if you're a developer looking to make money with AI, tools like TEN Agent are definitely worth learning and using! ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Here is the n8n workflow I covered in this video! It’s in a folder along with all the other Crawl4AI stuff I’ve done on my channel recently with Python. https://github.com/coleam00/ottomator-agents/blob/main/crawl4AI-agent/n8n-version/Crawl4AI_Agent.json Register now for the oTTomator AI Agent Hackathon with a $6,000 prize pool! https://studio.ottomator.ai/hackathon/register Try the Pydantic AI expert out now on the Live Agent Studio! https://studio.ottomator.ai Crawl4AI: https://github.com/unclecode/crawl4ai ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 00:00 - Intro to Crawl4AI + n8n 01:45 - Showing off the n8n Workflow 02:31 - What We're Crawling (and Ethics) 04:36 - How to Deploy Crawl4AI for n8n 07:57 - Deploying Crawl4AI with Docker 13:06 - TEN Agent 15:27 - Building Crawl4AI into n8n 29:15 - n8n + Crawl4AI RAG Demo 32:43 - Outro ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Join me as I push the limits of what is possible with AI. I'll be uploading videos at least two times a week - Sundays and Wednesdays at 7:00 PM CDT!

Learn how to run DeepSeek R1 locally using Ollama in this comprehensive guide. Discover step-by-step instructions, prerequisites, and how to test the API with Apidog.

🚀🤖 Crawl4AI, Open-source LLM-Friendly Web Crawler & Scraper

Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Wo...

Here’s a new API-only feature from Anthropic that requires quite a bit of assembly in order to unlock the value: Introducing Citations on the Anthropic API. Let’s talk about what …

Last Friday Alex Garcia and I hosted a new kind of Datasette Public Office Hours session, inviting members of the Datasette community to share short demos of projects that they …