Generative AI | OpenAI API, ChatGPT in Python Prompt Engineering - Chain of thought prompting

Chain of Thought Prompting | Learn ChatGPT Prompt Engineering
ChatGPT Chain-of-Thought Prompt Explained - LLM Chain of Thoughts for Beginners
What Is Chain-of-Thought Prompting in Generative AI?
ChatGPT Prompt Engineering Principles: Chain of Thought Prompting

Learn Generative AI | OpenAI API | ChatGPT, and GPT-4 in Python | Chatgpt Question Answering

Abstract: We explore how generating a chain of thought -- a series of intermediate reasoning steps -- significantly improves the ability of large language models to perform complex reasoning. In particular, we show how such reasoning abilities emerge naturally in sufficiently large language models via a simple method called chain of thought prompting, where a few chain of thought demonstrations are provided as exemplars in prompting. Experiments on three large language models show that chain of thought prompting improves performance on a range of arithmetic, commonsense, and symbolic reasoning tasks. The empirical gains can be striking. For instance, prompting a 540B-parameter language model with just eight chain of thought exemplars achieves state of the art accuracy on the GSM8K benchmark of math word problems, surpassing even finetuned GPT-3 with a verifier.
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Chain of Thoughts
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[Smddlvvs]

Hi....This is great content....I have a question can we use open ai API or langchain then extract tabular data from pdf and save to dataframe

is this