Incorporating new information into a GPT-3 model

This page summarizes the projects mentioned and recommended in the original post on /r/GPT3

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  • gpt_index

    Discontinued LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. [Moved to: https://github.com/jerryjliu/llama_index]

  • Have any of you attempted to customize a GPT-3 model by incorporating new information into it? My personal experience has been limited to fine-tuning the model to perform specific tasks, such as functioning as a chatbot. To augment its knowledge, I have used tools such as GPT-index (https://github.com/jerryjliu/gpt_index) which enable the language model to access external knowledge bases. However, I am interested in exploring the possibility of internalizing new information within the model.

  • grace

    LLM-based chatbot capable of interfacing with external systems for knowledge retrieval and command execution (by artmatsak)

  • In GRACE, I'm not relying on fine-tuning but making GPT-3 pull information from an external knowledge base. I'm explaining the approach in more detail in the accompanying blog post.

  • WorkOS

    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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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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