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Active Prompting - Anote

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Prompting typically refers to providing an initial input or instruction to the model to generate a desired response or continuation. It involves giving the model a specific prompt text to set the context or guide its output. Prompting plays a crucial role in tasks such as question and answering, summarization and semi-structured prompting, with applications in extracting information in 10-Ks, summarizing medical charts, and identifying key clauses in legal contracts. Here are examples of a few prompts that a user can ask an LLM: Question: What is Apple's revenue growth rate in this 10-K report? Question: Can you summarize this long medical chart in 3 sentences? Question: Which clauses in this legal contract seem anomalous? Answers to these questions can add tremendous business value. While prompting has enabled many of these questions to be answered, leading to tremendous innovations in the field of artificial intelligence, there are limitations. General purpose zero-shot LLMs, which a

Prompting with Active Learning What is Prompting Prompting typically refers to providing an initial input or instruction to the model to generate a desired response or continuation. It involves giving the model a specific prompt text to set the context or guide its output. Prompting plays a crucial role in tasks such as question and answering, summarization and semi-structured prompting, with applications in extracting information in 10-Ks, summarizing medical charts, and identifying key clauses in legal contracts. Here are examples of a few prompts that a user can ask an LLM: Question: What i

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