23.09.24 (Sun)
Chain-of-Verification Reduces Hallucination in Large Language ModelsGeneration of plausible yet incorrect factual information, termed hallucination, is an unsolved issue in
Chain-of-Verification Reduces Hallucination in Large Language ModelsGeneration of plausible yet incorrect factual information, termed hallucination, is an unsolved issue in
From Sparse to Dense: GPT-4 Summarization with Chain of Density PromptingSelecting the ``rightโณ amount of information to include
Knit - A better playground for prompt designersA better playground for prompt designers
GitHub - spcl/graph-of-thoughts: Official Implementation of โGraph of Thoughts: Solving Elaborate Problems with Large Language ModelsโOfficial Implementation of
Open Problems and Fundamental Limitations of Reinforcement Learning from Human FeedbackReinforcement learning from human feedback (RLHF) is a technique for
GitHub - NomaDamas/KICE_slayer_AI_Korean: ์๋ฅ ๊ตญ์ด 1๋ฑ๊ธ์ ๋์ ํ๋ AI์๋ฅ ๊ตญ์ด 1๋ฑ๊ธ์ ๋์ ํ๋ AI. Contribute to NomaDamas/KICE_
Paper page - Skills-in-Context Prompting: Unlocking Compositionality in Large Language ModelsJoin the discussion on this paper pageSkills-in-Context Prompting: Unlocking Compositionality
[Kor/Eng by ChatGPT] What can RL do?editor, Seungeon Baek(๋ฐฑ์น์ธ) Reinforcement learning Research Engineer [Kor] ์๋ ํ์ธ์, ์ค๋๋ง์ ๋ธ๋ก๊ทธ๋ฅผ