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An update on DPO vs PPO for LLM alignment ΡΠΊΠ°Ρ‡Π°Ρ‚ΡŒ Π² Ρ…ΠΎΡ€ΠΎΡˆΠ΅ΠΌ качСствС

An update on DPO vs PPO for LLM alignment 1 Π³ΠΎΠ΄ Π½Π°Π·Π°Π΄

ΡΠΊΠ°Ρ‡Π°Ρ‚ΡŒ Π²ΠΈΠ΄Π΅ΠΎ

ΡΠΊΠ°Ρ‡Π°Ρ‚ΡŒ mp3

ΡΠΊΠ°Ρ‡Π°Ρ‚ΡŒ mp4

ΠΏΠΎΠ΄Π΅Π»ΠΈΡ‚ΡŒΡΡ

Ρ‚Π΅Π»Π΅Ρ„ΠΎΠ½ с ΠΊΠ°ΠΌΠ΅Ρ€ΠΎΠΉ

Ρ‚Π΅Π»Π΅Ρ„ΠΎΠ½ с Π²ΠΈΠ΄Π΅ΠΎ

бСсплатно

Π·Π°Π³Ρ€ΡƒΠ·ΠΈΡ‚ΡŒ,

НС удаСтся Π·Π°Π³Ρ€ΡƒΠ·ΠΈΡ‚ΡŒ Youtube-ΠΏΠ»Π΅Π΅Ρ€. ΠŸΡ€ΠΎΠ²Π΅Ρ€ΡŒΡ‚Π΅ Π±Π»ΠΎΠΊΠΈΡ€ΠΎΠ²ΠΊΡƒ Youtube Π² вашСй сСти.
ΠŸΠΎΠ²Ρ‚ΠΎΡ€ΡΠ΅ΠΌ ΠΏΠΎΠΏΡ‹Ρ‚ΠΊΡƒ...
An update on DPO vs PPO for LLM alignment
  • ΠŸΠΎΠ΄Π΅Π»ΠΈΡ‚ΡŒΡΡ Π’Πš
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Π‘ΠΊΠ°Ρ‡Π°Ρ‚ΡŒ Π²ΠΈΠ΄Π΅ΠΎ с ΡŽΡ‚ΡƒΠ± ΠΏΠΎ ссылкС ΠΈΠ»ΠΈ ΡΠΌΠΎΡ‚Ρ€Π΅Ρ‚ΡŒ Π±Π΅Π· Π±Π»ΠΎΠΊΠΈΡ€ΠΎΠ²ΠΎΠΊ Π½Π° сайтС: An update on DPO vs PPO for LLM alignment Π² качСствС 4k

Π£ нас Π²Ρ‹ ΠΌΠΎΠΆΠ΅Ρ‚Π΅ ΠΏΠΎΡΠΌΠΎΡ‚Ρ€Π΅Ρ‚ΡŒ бСсплатно An update on DPO vs PPO for LLM alignment ΠΈΠ»ΠΈ ΡΠΊΠ°Ρ‡Π°Ρ‚ΡŒ Π² максимальном доступном качСствС, Π²ΠΈΠ΄Π΅ΠΎ ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ΅ Π±Ρ‹Π»ΠΎ Π·Π°Π³Ρ€ΡƒΠΆΠ΅Π½ΠΎ Π½Π° ΡŽΡ‚ΡƒΠ±. Для Π·Π°Π³Ρ€ΡƒΠ·ΠΊΠΈ Π²Ρ‹Π±Π΅Ρ€ΠΈΡ‚Π΅ Π²Π°Ρ€ΠΈΠ°Π½Ρ‚ ΠΈΠ· Ρ„ΠΎΡ€ΠΌΡ‹ Π½ΠΈΠΆΠ΅:

  • Π˜Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΡ ΠΏΠΎ Π·Π°Π³Ρ€ΡƒΠ·ΠΊΠ΅:

Π‘ΠΊΠ°Ρ‡Π°Ρ‚ΡŒ mp3 с ΡŽΡ‚ΡƒΠ±Π° ΠΎΡ‚Π΄Π΅Π»ΡŒΠ½Ρ‹ΠΌ Ρ„Π°ΠΉΠ»ΠΎΠΌ. БСсплатный Ρ€ΠΈΠ½Π³Ρ‚ΠΎΠ½ An update on DPO vs PPO for LLM alignment Π² Ρ„ΠΎΡ€ΠΌΠ°Ρ‚Π΅ MP3:


Если ΠΊΠ½ΠΎΠΏΠΊΠΈ скачивания Π½Π΅ Π·Π°Π³Ρ€ΡƒΠ·ΠΈΠ»ΠΈΡΡŒ ΠΠΠ–ΠœΠ˜Π’Π• Π—Π”Π•Π‘Π¬ ΠΈΠ»ΠΈ ΠΎΠ±Π½ΠΎΠ²ΠΈΡ‚Π΅ страницу
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An update on DPO vs PPO for LLM alignment

A casual chat on our experiments trying to figure out which one is best. Paper referenced: https://arxiv.org/abs/2406.09279 Abstract: Learning from preference feedback has emerged as an essential step for improving the generation quality and performance of modern language models (LMs). Despite its widespread use, the way preference-based learning is applied varies wildly, with differing data, learning algorithms, and evaluations used, making disentangling the impact of each aspect difficult. In this work, we identify four core aspects of preference-based learning: preference data, learning algorithm, reward model, and policy training prompts, systematically investigate the impact of these components on downstream model performance, and suggest a recipe for strong learning for preference feedback. Our findings indicate that all aspects are important for performance, with better preference data leading to the largest improvements, followed by the choice of learning algorithm, the use of improved reward models, and finally the use of additional unlabeled prompts for policy training. Notably, PPO outperforms DPO by up to 2.5% in math and 1.2% in general domains. Slides: https://docs.google.com/presentation/... Synthetic data piece: https://www.interconnects.ai/p/fronti... Slides taken from recent Stanford Lecture: https://docs.google.com/presentation/...

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