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RT @rileybrown: I've been using Gamma for the past 18 months. Every month it just gets better + more delightful to use. Congrats to the…
General Partner @a16z growth fund. “Excellence is the capacity to take pain”
RT @_thomasip: in a sea of people chasing max profit and clout, there are those who genuinely want to move the field forward.
Cofounder and Head of Post Training @NousResearch, prev @StabilityAI Github: https://t.co/LZwHTUFwPq HuggingFace: https://t.co/sN2FFU8PVE
With the news of @Uniswap's fee proposal, it's a good time to revisit how to evaluate when a protocol should start taking fees. Here's an explainer I wrote on that over the summer, in both haiku and extended form 👇👀
Market Design/Entrepreneurship Professor @HarvardHBS & Faculty Affiliate @Harvard Economics; Research @a16zcrypto; Editor @restatjournal; Econ @Quora; … | #QED
We also made it super easy to use from SQL or Apache Spark. Just call ai_parse_document and we automatically handle batch execution at scale. Docs here: https://t.co/AZapO2mPFK
CTO at @Databricks and CS prof at @UCBerkeley. Working on data+AI, including @ApacheSpark, @DeltaLakeOSS, @MLflow, @DSPyOSS. https://t.co/nmRYAKFsWr
Enterprise documents are very complex, with tables, headings, figures, etc, and the new ai_parse_document identifies these components reliably and returns them in a JSON form for downstream apps/agents. Customers have been putting it to the test on some very tough datasets!
We also made it super easy to use from SQL or Apache Spark. Just call ai_parse_document and we automatically handle batch execution at scale. Docs here: https://t.co/AZapO2mPFK
Great new capability in Databricks powered by our AI research team! We trained a document parsing system that delivers leading quality at 3-5x lower cost and outperforms leading VLMs like GPT-5 and Claude. This is critical to connect AI to so many kinds of data.
Enterprise documents are very complex, with tables, headings, figures, etc, and the new ai_parse_document identifies these components reliably and returns them in a JSON form for downstream apps/agents. Customers have been putting it to the test on some very tough datasets!