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The model serves as a tool for the discussion, planning, and definition of AI products by cross-disciplinary AI and product teams, as well as for alignment with the business department. It aims to bring together the perspectives of product managers, UXdesigners, data scientists, engineers, and other team members.
These might prompt us to change the output or refrain from providing it altogether and return a fail-safe message. Since AImodels are probabilistic in nature having proper guardrails is a good idea in general, regardless of our stance on hallucinations. This may follow a predefined rule (e.g.,
Not only are large language models (LLMs) capable of answering a users question based on the transcript of the file, they are also capable of identifying the timestamp (or timestamps) of the transcript during which the answer was discussed. There are instructions for replacing the frontend in the README of the GitHub repository.
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