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#113: Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
MP3•Episode home
Manage episode 362201451 series 2151064
Content provided by Hajime Morrita , Jun Mukai. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hajime Morrita , Jun Mukai or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
LLM に算数の文章題を解かせるコツについて森田が読みました。ご意見ご感想などはおたより投書箱や Reddit にお寄せください。iTunes のレビューや星も歓迎です。
- Improving Language Understanding by Generative Pre-Training
- Language Models are Unsupervised Multitask Learners
- [2005.14165] Language Models are Few-Shot Learners
- [2201.11903] Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
- NLP’s ImageNet moment has arrived
- In-Context Learning, In Context
- ChatGPT Prompt Engineering for Developers – DeepLearning.AI
137 episodes
MP3•Episode home
Manage episode 362201451 series 2151064
Content provided by Hajime Morrita , Jun Mukai. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hajime Morrita , Jun Mukai or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
LLM に算数の文章題を解かせるコツについて森田が読みました。ご意見ご感想などはおたより投書箱や Reddit にお寄せください。iTunes のレビューや星も歓迎です。
- Improving Language Understanding by Generative Pre-Training
- Language Models are Unsupervised Multitask Learners
- [2005.14165] Language Models are Few-Shot Learners
- [2201.11903] Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
- NLP’s ImageNet moment has arrived
- In-Context Learning, In Context
- ChatGPT Prompt Engineering for Developers – DeepLearning.AI
137 episodes
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