openai-cookbook VS openai-python

A pretrained LLM is a closed-book system: It can only access information that it was trained on. With domain fine-tuning, the system manifests additional material. An early prototype of this technique was shown in this OpenAi cookbook: For the target domain, text was embedded using an API, and then when using the LLM, embeddings were retrieved using semantic similarity search to formulate an answer. Although this approach evolved to retrieval-augmented generation, its still a technique to adapt a Gen2 (2020) or Gen3 (2022) LLM into a question-answering system.

https://github.com/openai/openai-cookbook/blob/main/examples...

It sounds like you are trying to tweak embeddings for similarity search. Rather than fine-tune the model's layers, you may want to try training a linear transformation the existing model's output embedding. Openai has a cookbook on how to do that. You will need some data though - but I think you can try it with ~20 pieces of synthetically generated data.

tutorial from OpenAI https://github.com/openai/openai-cookbook/blob/main/examples/Question_answering_using_embeddings.ipynb

OpenAI Cookbook

OpenAI community repo with lots of examples: https://github.com/openai/openai-cookbook

The ongoing model anchoring/grounding issue likely affects all GPT-4 checkpoints/variants, but is most prominent with the latest "gpt-4-turbo-2024-04-09" variant due to its most recent cutoff date, might imply deeper issues with the current model architecture, or at least how it's been updated:

https://github.com/openai/openai-python/issues/1310

See also the original thread on OpenAI's developer forums (linked on the GitHub issue) with confirmations from others.

A test code snippet is included in the GitHub issue to A/B test the problem yourself with your own questions if need be.

- Iterate on large codebases quickly: we use Rust for maximum performance

GritQL has already been used on thousands of repositories for complex migrations[1] but we're excited to collaborate more with the open source community.

[1] Ex. https://github.com/openai/openai-python/discussions/742

Explore OpenAI and learn how to easily integrate it into your existing application with the OpenAI Python module.

You tried to access openai.Completion, but this is no longer supported in openai>=1.0.0 - see the README at https://github.com/openai/openai-python for the API. You can run `openai migrate` to automatically upgrade your codebase to use the 1.0.0 interface. Alternatively, you can pin your installation to the old version, e.g. `pip install openai==0.28` A detailed migration guide is available here: https://github.com/openai/openai-python/discussions/742

Relatedly, I checked and OpenAI deleted all references to their ChatML spec from their GitHub repo.

This is what it said in an earlier commit: https://github.com/openai/openai-python/blob/2942bf4bb635b1e...

Make sure to install the OpenAI library first. Since I'm using Python, I need

Source: https://github.com/openai/openai-python/discussions/742