Unlocking reasoning in Large language models | Logesh Kumar Umapathi | Conf42 ML 2023

Описание: Read the abstract ➤ https://www.conf42.com/Machine_Learni...
Other sessions at this event ➤ https://www.conf42.com/ml2023
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Further read
➤ https://pakodas.substack.com/p/how-to...
➤ https://www.shaped.ai/blog/do-large-l...

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