Follow AI Builders — Not Influencers
It's kind of crazy how well LiteParse does on markdown document parsing even compared against frontier VLMs - when it doesn't use VLMs or any AI/OCR models at all. It's pure code. On ParseBench, it outperforms Qwen 3.5-9B / GLM-OCR. There's still a gap vs. models like Gemma 4 and PaddleOCR-VL especially on dense visual outputs, but if your documents are text/table-heavy this gap closes rapidly. Come check it out: it's the fastest document parser you can possibly use, and it's completely free/open-source. Repo: https://github.com/run-llama/liteparse
We built the fastest PDF -> markdown parser in the world 🚀⚡️ AND it’s more accurate than any other open-source, model-free parser (pymupdf4llm, opendataloader, pdf-inspector, markitdown) on 3 standardized benchmarks: olmOCR0-bench, opendataloader-bench, ParseBench Introducing
View quoted postBTW many who ask for meetings also secretly hate them. Just ask and set each other free. You both will be happier
To all the newcomers excited to try Opus 4.8-level models at home: welcome to OpenWeightLand! Things work a little differently here than in ClosedSourcistan. Might seem strange at first but you'll quickly get used to it: - there are many providers for the same model and they compete on price and features. - as a result intelligence is abundant and typically much cheaper - you can run the model on-prem, in your region, locally, or with the provider of your choice - you can fine-tune it, modify it, and build businesses on top of it without asking anyone for permission Turns out open weights create markets, not kingdoms. A good central train station to start exploring is the Hugging Face page for GLM-5.2 under "Use this model": -> https://huggingface.co/zai-org/GLM-5.2 And if you just want to chat with it, it's free on HuggingChat: -> https://huggingface.co/chat/
第一波赚到钱的OPC，早就不玩单人模式了
这是哥飞的朋友们之一，刘小排老师的采访稿。为什么称呼为“老师”呢？因为我们目前玩的新词新站模式，刘小排老师2022年就在玩了。
