jlopes2

3 ms·

1. 1.▲
   by jlopes2 2y ago

   This feels a little to high level for me, the leap from what LLM does today to provable theorem set is rough. community is having large debates on whether an LLM can reason outside of its training.This feels ignored in here.
2. 2.▲
   by jlopes2 2y ago

   Let’s see the code. A bit skeptical, this hasnt over complicated something architecturally. Need more clear drawings of architecture. What prompts exist, what tool calls are made, and what gets updated.
3. 3.▲
   by jlopes2 3y ago

   I just did a talk with Jerry from LlamaIndex earlier this week. https://www.youtube.com/watch?v=eLXivBehPGo Included here is a bit of the old tried and true: NDCG/MRR/Precision @k - what you really want for measu
4. 4.▲
   Show HN: Phoenix OSS – Applying LLM Spans, Traces, and Evals for AI Insights(github.com)

   23 points by jlopes2 3y ago|3 comments
5. 5.▲
   by jlopes2 6y ago

   Awesome overview of data prep but I am probably a bit biased.