HN Explorer

richardliaw

↗ HN profile [ 39.7 ms ] full profile
Karma
193
Created
August 13, 2014 (12y ago)
Submissions
0
  1. LLM Inference Endpoint Performance Benchmarking Tool (github.com)
    4 points 0
  2. A comprehensive guide to building RAG-based LLM applications for production (github.com)
    3 points 0
  3. Ray – an open source project for scaling AI workloads (github.com)
    2 points 0
  4. Continuous batching enables 23x throughput in LLM inference (anyscale.com)
    2 points 0
  5. Anyscale's Aviary is a dashboard for evaluating Open Source LLMs (aviary.anyscale.com)
    14 points 3
  6. Numbers every LLM developer should know (github.com)
    428 points 103
  7. How to build a LLM search engine using a self-hosted LLM (anyscale.com)
    3 points 0
  8. Ray is the next generation ML framework (orenleung.super.site)
    5 points 1
  9. Anyscale raises $40M Series B to revolutionize serverless computing (techcrunch.com)
    20 points 0
  10. Cloud Computing in Python for all major clouds (medium.com)
    1 points 0
  11. Large Scale Training at Berkeley AI Research (bair.berkeley.edu)
    2 points 0
  12. Ray (from UC Berkeley), for the Curious (medium.com)
    1 points 0
  13. Ray for the Curious (medium.com)
    1 points 0
  14. Tune: A scalable framework for hyperparameter tuning from UC Berkeley (medium.com)
    5 points 0