![Google & Stanford Team Applies Chain-of-Thought Prompting to Surpass Human Performance on Challenging BIG-Bench Tasks | Synced Google & Stanford Team Applies Chain-of-Thought Prompting to Surpass Human Performance on Challenging BIG-Bench Tasks | Synced](https://i0.wp.com/syncedreview.com/wp-content/uploads/2022/10/image-91.png?resize=950%2C515&ssl=1)
Google & Stanford Team Applies Chain-of-Thought Prompting to Surpass Human Performance on Challenging BIG-Bench Tasks | Synced
Quoc Le on Twitter: "If you like the reasoning abilities in PaLM, also check out: "chain of thought prompting": https://t.co/LlsVFFoyjP Which adds “chain of thought” before answers in prompts for language models.
![GitHub - amazon-science/auto-cot: Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated) GitHub - amazon-science/auto-cot: Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)](https://user-images.githubusercontent.com/22279212/194787183-a1f8dff8-a0ad-43a1-827f-819671503860.png)
GitHub - amazon-science/auto-cot: Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
GitHub - qiwei-li/chain-of-thought: A tool that extracts the evolution of a IEEE paper's ideas using an online approach.
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![AK on Twitter: "Chain of Thought Prompting Elicits Reasoning in Large Language Models abs: https://t.co/Sm1F2pgzkh https://t.co/o6TxxtgPIv" / Twitter AK on Twitter: "Chain of Thought Prompting Elicits Reasoning in Large Language Models abs: https://t.co/Sm1F2pgzkh https://t.co/o6TxxtgPIv" / Twitter](https://pbs.twimg.com/media/FKaFb87X0AIqr09.jpg)
AK on Twitter: "Chain of Thought Prompting Elicits Reasoning in Large Language Models abs: https://t.co/Sm1F2pgzkh https://t.co/o6TxxtgPIv" / Twitter
![R] Multimodal Chain-of-Thought Reasoning in Language Models - Amazon Web Services Zhuosheng Zhang et al - Outperforms GPT-3.5 by 16% (75%->91%) and surpasses human performance on ScienceQA while having less than 1B R] Multimodal Chain-of-Thought Reasoning in Language Models - Amazon Web Services Zhuosheng Zhang et al - Outperforms GPT-3.5 by 16% (75%->91%) and surpasses human performance on ScienceQA while having less than 1B](https://preview.redd.it/r-multimodal-chain-of-thought-reasoning-in-language-models-v0-g9eo0f94k1ga1.jpg?width=1331&format=pjpg&auto=webp&s=aa32bdffc7e2163f381fc7d4b9ee86f7aff119d1)