nkaretnikov

6 ms·

1. 1.▲
   by nkaretnikov 3y ago

   Could you start a new discussion here? https://github.com/Quansight/ragna/discussions
2. 2.▲
   by nkaretnikov 3y ago

   There'll be a talk at PyData NYC 2023 on Ragna as well: https://nyc2023.pydata.org/cfp/talk/7DPRGM/
3. 3.▲
   by nkaretnikov 3y ago

   Are you asking about the query/tokenization or the overall architecture? I assume it's the former. It's explained in the post after the diagram, see "The diagram illustrates a series of steps [...]". We get a user q
4. 4.▲
   Unveiling Ragna: An Open Source RAG-Based AI Orchestration Framework(quansight.com)

   44 points by nkaretnikov 3y ago|12 comments
5. 5.▲
   by nkaretnikov 3y ago

   My colleagues at Quansight released Ragna. It's pretty cool! In the blogpost, there's a demo: you upload a pdf, ask ML model a question, it answers and shows which pages it looked at in the document. If you don't trust the ou
6. 6.▲
   PyTorch: The Most Complex Software Project in the World Keeps Getting Better(blog.karetnikov.org)

   4 points by nkaretnikov 3y ago|1 comments
7. 7.▲
   by nkaretnikov 3y ago

   I've written an article about PyTorch! It's meant for non-PyTorch devs and focuses on software architecture. Enjoy!
8. 8.▲
   by nkaretnikov 7y ago

   SEEKING WORK Location: Moscow, Russia Remote: Yes Willing to relocate: Very unlikely, but possible for the right role Technologies: Haskell, Python, C, C++, assembly (x86, ARM, PowerPC), Rust, Go, Swift, Coq, Agda Résumé/CV
9. 9.▲
   by nkaretnikov 7y ago

   Location: Moscow, Russia Remote: Yes Willing to relocate: Very unlikely, but possible for the right role Technologies: Haskell, Python, C, C++, assembly (x86, ARM, PowerPC), Rust, Go, Swift, Coq, Agda Résumé/CV: Will provi