LLM Is a Capable Regressor When Given In-Context Examples

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  • llm4regression

    Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update

  • Code is available at: https://github.com/robertvacareanu/llm4regression

    I also added google colab examples:

    A small example with GPT-4: https://colab.research.google.com/drive/1Bk9uBCBvzuX00Rex-t1...

    A small scale eval with GPT-4: https://colab.research.google.com/drive/1_-uHvW2oLtcCXz0c-G_...

    Also, feel free to DM or email me if you’d like to chat more about it!

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    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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