Dean @codevore1
building opensource Document Intelligence @ docuglean-ai. Documents → structured data https://t.co/kygHLpauf6 RLHF. RL Envs. git.new/docuglean-ocr Joined June 2018-
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Excited to announce I’m building Docuglean - an open-source, privacy-focused document intelligence layer with three key foundations:. • Agentic OCR for parsing documents into high-quality, ready-to-use data. powered by SOTA VLM models for complex tables, formats, and layouts.…
I reviewed 100 models over the past 30 days. Here are 5 things I learnt. TL;DR: Spent a month testing every AI model for work, a few tools I'm building and RL. Build task-specific evals. Most are overhyped, a few are gems, model moats are ephemeral, and routers/gateways are the…
High-quality data is the fuel for modern data deep learning model training. HT @lilianweng lilianweng.github.io/posts/2024-02-…
Human evaluation still reigns for subjective cases: edge-case nuance escapes auto-scoring
always love seeing tiny teams build really impressive models. know any other small team doing cool model work?
always love seeing tiny teams build really impressive models. know any other small team doing cool model work?
@Alibaba_Qwen silently dropping a SOTA image model with amazing txt rendering that beats GPT Image 1 and Seedream 🔥 def wasn't on my wish list this week! 🤯

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