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Joined 2 years ago
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Cake day: June 17th, 2023

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  • LLMs are a type of machine learning. Input is broken into tokens, which are then fed through a type of neural network called a transformer model.

    The models are trained with a process known as deep learning, which involves the probabilistic analysis of unstructured data, which eventually enables the model to recognize distinctions between pieces of content.

    That’s like textbook machine learning. What you said about interpreting sentiment isn’t wrong, but it does so with machine learning algorithms.









  • Well, if someone changes their name you’d add a new record with the same SSN to hold their new name, that way it keeps the records consistent with the paperwork; old papers say their old name and reference the retired record, new papers use their new name and reference the new record.

    You can use the SSN as the key to find all records associated with a person, it doesn’t have to be a single row per SSN, in fact that would make the data harder to manage and less accurate.

    E.g. if someone changes their last name after getting married, it could be useful to be able to have their current and former name in the database for reference.