← Înapoi la Urmăritori

Cel mai recent articol

Ultima verificare

Urmăritori 0 urmăritori
Articole: 6
  1. We study MegaGem, a three-player, general-sum, imperfect-information auction game developed by Jane Street, and train a 4B specialist to play it.

  2. Modded-nanoGPT speedrunning is a popular benchmark that asks how fast 8xH100s can drive a 124M-parameter model to 3.28 validation loss on FineWeb.

  3. How do labs train a frontier, multi-billion parameter model?

  4. LLMs trained on web-scale corpora inadvertently memorize and leak personally identifiable information (PII) present in their training data.

  5. Can RL agents learn to play spatial reasoning puzzle games as well as, or better than, LLMs?

  6. RLHF with PPO from scratch and lots of fine-tuning GPT-2 models for movie sentiment classification.