#opensourcedeeplearningtools zoekresultaten

🚨 DeepSeek just did something wild. They built an OCR system that compresses long text into vision tokens literally turning paragraphs into pixels. Their model, DeepSeek-OCR, achieves 97% decoding precision at 10× compression and still manages 60% accuracy even at 20×. That…

This is the JPEG moment for AI. Optical compression doesn't just make context cheaper. It makes AI memory architectures viable. Training data bottlenecks? Solved. - 200k pages/day on ONE GPU - 33M pages/day on 20 nodes - Every multimodal model is data-constrained. Not anymore.…

🚀 DeepSeek-OCR — the new frontier of OCR from @deepseek_ai , exploring optical context compression for LLMs, is running blazingly fast on vLLM ⚡ (~2500 tokens/s on A100-40G) — powered by vllm==0.8.5 for day-0 model support. 🧠 Compresses visual contexts up to 20× while keeping…

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If you want to learn Deep Learning from the ground up to advanced techniques, this open resource is a gem. Full notebook suite -> Link in comments

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Alpha for the week 👇 @SentientAGI is quietly building the largest open-source AI network with 100+ partners across Web2 + Web3. Think of it as the Linux of AI decentralized, verifiable, and already outperforming closed labs. Teamed up with Sentient for this one. The scale…

BOOOOOOOM! CHINA DEEPSEEK DOES IT AGAIN! An entire encyclopedia compressed into a single, high-resolution image! — A mind-blowing breakthrough. DeepSeek-OCR, unleashed an electrifying 3-billion-parameter vision-language model that obliterates the boundaries between text and…

Posting this again as a reminder of what OpenxAI is building. A fully decentralized framework for training, hosting, and monetizing AI without corporate control or data capture. $OPENX has one of the clearest visions for onchain AI infrastructure right now.

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Just like Linux made operating systems open for everyone to build on, which led to the internet breakthrough today, @SentientAGI is doing the same for AGI. Sentient goal is make artificial general intelligence open, decentralized and free from corporate control. Their Open Deep…

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DeepSeek finally released a new model and paper. And because this DeepSeek-OCR release is a bit different from what everyone expected, and DeepSeek releases are generally a big deal, I wanted to do a brief explainer of what it is all about. In short, they explore how vision…

I'm excited to announce that Chandra OCR is open source! - Full layout information - Extracts and captions images and diagrams - Strong handwriting, form, table support - Works with transformers and vLLM

We used DeepSeek OCR to extract every dataset from tables/charts across 500k+ AI arXiv papers for $1000 🚀 See which benchmarks are trending and discover datasets you didn't know existed Doing the same task with Mistral OCR would've cost $7500 👀

why does @SentientAGI open-source AI mission matter? the biggest AI labs are becoming very powerful gatekeepers. sentient aims to prevent a few companies from controlling AGI. this is important for global fairness and stopping monopoly control over revolutionary technology.…

DeepSeek-OCR looks impressive, but its core idea is not new. Input “Text” as “Image” — already explored by: LANGUAGE MODELING WITH PIXELS (Phillip et al., ICLR 2023) CLIPPO: Image-and-Language Understanding from Pixels Only (Michael et al. CVPR 2023) Pix2Struct: Screenshot…

If you're prepping for tech job interviews, you should know how to apply data structures & algorithms to coding challenges. And this course helps you learn the key DSA you'll need to know with plenty of examples. It covers arrays, sets, hashmaps, Big O notation, sliding window,…