HN Explorer

7d7n

↗ HN profile [ 95.7 ms ] full profile

No user record in our sample, but 7d7n has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.

  1. How to Train an LLM-RecSys Hybrid for Steerable Recs with Semantic IDs (eugeneyan.com)
    1 points 0
  2. How to Train an LLM-RecSys Hybrid for Steerable Recs (eugeneyan.com)
    2 points 0
  3. Building an agentic workflow for my daily news with MCPs, Q, and tmux (eugeneyan.com)
    2 points 0
  4. An LLM‑as‑Judge Won't Save the Product–Fixing Your Process Will (eugeneyan.com)
    2 points 0
  5. An LLM‑as‑Judge Won't Save Your Product–Fixing Your Process Will (eugeneyan.com)
    1 points 0
  6. FAQ on Writing: How I got started, why I write, who I write for (eugeneyan.com)
    2 points 0
  7. Frequently Asked Questions about My Writing Process (eugeneyan.com)
    2 points 0
  8. Patterns for Building LLM-Based Systems and Products (eugeneyan.com)
    2 points 0
  9. Evaluating the Effectiveness of LLM-Evaluators (a.k.a. LLM-as-Judge) (eugeneyan.com)
    2 points 0
  10. Some Paradoxical Rules of Writing (eugeneyan.com)
    2 points 0
  11. How to Interview and Hire ML/AI Engineers (eugeneyan.com)
    1 points 0
  12. Bluesky Social Dataset (235M posts from 4M users) (zenodo.org)
    91 points 45
  13. My Minimal MacBook Pro Setup Guide (eugeneyan.com)
    3 points 1
  14. AlignEval: Building an App to Make Evals Easy, Fun, and Automated (eugeneyan.com)
    2 points 0
  15. Evaluating the Effectiveness of LLM-as-Judge (eugeneyan.com)
    2 points 0
  16. Building the same app using various web frameworks (eugeneyan.com)
    161 points 152
  17. How to Interview and Hire ML/AI Engineers (eugeneyan.com)
    1 points 0
  18. Evaluating the Effectiveness of LLM-Evaluators (a.k.a. LLM-as-Judge) (eugeneyan.com)
    2 points 0
  19. How to Interview and Hire ML/AI Engineers (eugeneyan.com)
    2 points 1
  20. How to Interview and Hire ML/AI Engineers (eugeneyan.com)
    1 points 0
  21. How to Interview and Hire ML/AI Engineers (eugeneyan.com)
    2 points 0
  22. Cursor sends data to their servers even when you use local models (twitter.com)
    17 points 6
  23. Prompting Fundamentals and How to Apply Them Effectively (eugeneyan.com)
    1 points 0
  24. What We Learned from a Year of Building with LLMs (oreilly.com)
    324 points 91
  25. Simplicity is an advantage but sadly complexity sells better (2022) (eugeneyan.com)
    376 points 266