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A collection of documents and attachments privately shared with OpenIndex

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This chatbot will answer all your questions about Acme's HR policy

Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.

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The penalty used to modify the next token probabilities based on whether the same token has already been generated in the current sequence. This encourages diversity in the generated text.

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Temperature controls the randomness of the generated text. Lower temperature results in less random completions. As the temperature approaches zero, the model will become deterministic and repetitive. Higher temperature results in more random completions.

An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.

OpenIndex will calculate and store embeddings, or vectors of numbers representing your documents. This allows you to interact with those documents through an OpenIndex agent or by using OpenIndex as a ChatGPT plugin.

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Prompt to help write an engineering job description

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Acme Inc is a leading provider of AI agents and chat bots. Our value proposition is ...

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	URL	Type	Last indexed	Status
	legifrance.gouv.fr/.../texte_lc/LEGITEXT000006072665		Dec 25, 2023
	upcdn.io/.../25/000124525bb-6QTr.pdf		Dec 25, 2023

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