Read the abstract ➤ https://www.conf42.com/Machine_Learning_2023_Logesh_Kumar_Umapathi_reasoning_planning_abilities_language_models Other sessions at this event ➤ https://www.conf42.com/ml2023 Join Discord ➤ https://discord.gg/DnyHgrC7jC Further read ➤ https://pakodas.substack.com/p/how-to-leverage-emergent-abilities?utm_source=post-email-title&publication_id=54538&post_id=117114977&isFreemail=true&utm_medium=email ➤ https://www.shaped.ai/blog/do-large-language-models-llms-reason Chapters 0:00 intro 0:22 preface 0:45 about logesh 1:16 agenda 2:14 what is reasoning? 2:56 how is reasoning measured (in the literature)? 5:32 eliciting reasoning 7:47 chain of thought prompting and self consistency 10:53 program-aided language models 13:01 plan-and-solve prompting 18:07 star: self-taught reasoner bootstrapping reasoning with reasoning 19:33 specializing smaller language models towards multi-step reasoning 20:48 distilling step-by-step 22:34 recursive and iterative prompting 23:16 least-to-most prompting 25:11 plan, eliminate, and track 27:23 describe, explain, plan and select 30:06 tool usage 30:43 react: reason and act 33:02 chameleon 37:52 acknowledgement & further reading