Sign In

ProTrain: Efficient LLM Training via Memory-Aware Techniques

Created by
  • Haebom
Category
Empty

μ €μž

Hanmei Yang, Jin Zhou, Yao Fu, Xiaoqun Wang, Ramine Roane, Hui Guan, Tongping Liu

πŸ’‘ κ°œμš”

λŒ€κ·œλͺ¨ μ–Έμ–΄ λͺ¨λΈ(LLM) ν•™μŠ΅ μ‹œ λ©”λͺ¨λ¦¬ μ œμ•½μ€ 특히 μžμ› μ œμ•½ ν™˜κ²½μ—μ„œ μ€‘μš”ν•œ λ¬Έμ œκ°€ 되고 μžˆμŠ΅λ‹ˆλ‹€. λ³Έ 논문은 λ©”λͺ¨λ¦¬ 관리 정책을 λͺ¨λΈ μ•„ν‚€ν…μ²˜μ™€ ν•˜λ“œμ›¨μ–΄μ— 맞좰 μžλ™μœΌλ‘œ μ΅œμ ν™”ν•˜λŠ” μƒˆλ‘œμš΄ ν›ˆλ ¨ μ‹œμŠ€ν…œμΈ ProTrain을 μ œμ•ˆν•©λ‹ˆλ‹€. ProTrain은 μˆ˜λ™ νŠœλ‹μ˜ ν•„μš”μ„±μ„ μ—†μ• κ³ , λŸ°νƒ€μž„ ν”„λ‘œνŒŒμΌλ§μ„ 톡해 얻은 μ •λ³΄λ‘œ κ³ ν’ˆμ§ˆ λΉ„μš© λͺ¨λΈμ„ κ΅¬μΆ•ν•˜μ—¬ 졜적의 섀정값을 νƒμƒ‰ν•¨μœΌλ‘œμ¨ ν›ˆλ ¨ μ²˜λ¦¬λŸ‰μ„ 크게 ν–₯μƒμ‹œν‚΅λ‹ˆλ‹€.

πŸ”‘ μ‹œμ‚¬μ  및 ν•œκ³„

β€’
LLM ν•™μŠ΅μ—μ„œ λ©”λͺ¨λ¦¬ μ••λ°• 문제λ₯Ό μžλ™ν™”λœ μ‹œμŠ€ν…œμœΌλ‘œ 효과적으둜 ν•΄κ²°ν•˜μ—¬ μ „λ¬Έκ°€ 지식 없이도 ν•˜λ“œμ›¨μ–΄ μžμ›μ„ 졜적으둜 ν™œμš©ν•  수 μžˆμŠ΅λ‹ˆλ‹€.
β€’
ν›ˆλ ¨ μ•Œκ³ λ¦¬μ¦˜μ„ λ³€κ²½ν•˜μ§€ μ•ŠμœΌλ©΄μ„œλ„ 1.43λ°°μ—μ„œ 2.71λ°°κΉŒμ§€ ν›ˆλ ¨ μ²˜λ¦¬λŸ‰μ„ ν–₯μƒμ‹œν‚€λŠ” λ›°μ–΄λ‚œ μ„±λŠ₯을 λ³΄μ—¬μ€λ‹ˆλ‹€.
β€’
아직 μ œμ‹œλ˜μ§€ μ•Šμ€ λ‹€μ–‘ν•œ ν•˜λ“œμ›¨μ–΄ ν™˜κ²½ 및 λͺ¨λΈ μ•„ν‚€ν…μ²˜μ— λŒ€ν•œ ProTrain의 μΌλ°˜ν™” μ„±λŠ₯κ³Ό ν™•μž₯성에 λŒ€ν•œ μΆ”κ°€ 연ꡬ가 ν•„μš”ν•©λ‹ˆλ‹€.
πŸ‘
Made with Slashpage