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Products that do what A better LLM-wiki with multi-path research [550 stars] does

  1. 1LW
  2. 2RT

    2013 · document.ly

  3. 3
    Distill200

    An interactive, visual journal for Machine Learning research

    2017

  4. 4KG

    Hi HN! My latest side project is knowledge graph that maps the French culinary network using data extracted from restaurant reviews from LeFooding.com. The project uses LLMs to extract structured information from unstructured text. Some technical aspects you may be interested in: - Used structured generation to reliably parse unstructured text into a consistent schema - Tested multiple models (Mistral-7B-v0.3, Llama3.2-3B, gpt4o-mini) for information extraction - Created an interactive visualization using gephi-lite and Retina (WebGL) - Built (with Claude) a simple Flask web app to clean and…

    2025 · theophilecantelob.re

  5. 5LG

    Hi there, I've decided to jump on the AI train and put something together with low effort & high reward, to see if it can get any traction. What do you think? Is it a promising area? Do you guys have ideas for me? There is obviously going to be sea of LLM generated content out there and one project adding up to it might not necessarily be what world needs. In the same time there is something intriguing about the area. Well, please play with it and let me know what y'all think. Much appreciated.

    2023 · canonica.ai

  6. 61B
  7. 7

    Find your best LLM for a local inference

    2023

  8. 8FR

    2020 · perfectwiki.xyz

  9. 9AW

    2011 · wiki.pageforest.com

  10. 10LT
  11. 11GA
  12. 12PA

    2012 · piki.heroku.com

  13. 13LW

    Apr 2026 · github.com

  14. 14WA
  15. 15TT
  16. 16LF
  17. 17UL
  18. 18LW

    Apr 2026 · github.com

  19. 19AV

    I feel like LLMs can help me understand anything. However, after I get a summary, I can't dive in to parts that I find interesting; can't refer to original source easily and can't control context with chatbots. This is an attempt to solve for a complete knowledge consumption experience with AI . Please give me feedback!

    Oct 2025 · kerns.ai

  20. 20IM

    So hard to keep up with tooling and MLOps - I put it all in one place and got some tips from an experienced friend on what to use.

    2025 · readyforagents.com

  21. 21MA
  22. 22PW
  23. 23EA

    2016 · emunotes.com

  24. 24WW

    Hey all! @sridatta and I wrote a book/zine called Forest Friends on system evals for LLM-driven apps. But it's a bit more whimsical, a bit more visual, and very much inspired by the meme of LLMs being a shoggoth polished into a smiley face with RLHF. LLM system evals are important as companies move past the flashy AI demos to reliable production apps. System evals keep coming up as the answer for what you "should do", but it's not exactly a standard part of the software engineering toolkit. So we pulled from @sridatta's seven years as a research engineer at Google, plus a ton of best…

    2024

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