mirror of https://github.com/microsoft/autogen.git synced 2025-07-23 00:42:54 +00:00

* api_base -> base_url (#383)

* InvalidRequestError -> BadRequestError (#389)

* remove api_key_path; close #388

* close #402 (#403)

* openai client (#419)

* openai client

* client test

* _client -> client

* _client -> client

* extra kwargs

* Completion -> client (#426)

* Completion -> client

* Completion -> client

* Completion -> client

* Completion -> client

* support aoai

* fix test error

* remove commented code

* support aoai

* annotations

* import

* reduce test

* skip test

* skip test

* skip test

* debug test

* rename test

* update workflow

* update workflow

* env

* py version

* doc improvement

* docstr update

* openai<1

* add tiktoken to dependency

* filter_func

* async test

* dependency

* migration guide (#477)

* migration guide

* change in kwargs

* simplify header

* update optigude description

* deal with azure gpt-3.5

* add back test_eval_math_responses

* timeout

* Add back tests for RetrieveChat (#480)

* Add back tests for RetrieveChat

* Fix format

* Update dependencies order

* Fix path

* Fix path

* Fix path

* Fix tests

* Add not run openai on MacOS or Win

* Update skip openai tests

* Remove unnecessary dependencies, improve format

* Add py3.8 for testing qdrant

* Fix multiline error of windows

* Add openai tests

* Add dependency mathchat, remove unused envs

* retrieve chat is tested

* bump version to 0.2.0b1

---------

Co-authored-by: Li Jiang <bnujli@gmail.com>

2023-11-04 04:01:49 +00:00

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Tune GPT Models

AutoGen also offers a cost-effective hyperparameter optimization technique EcoOptiGen for tuning Large Language Models. The research study finds that tuning hyperparameters can significantly improve the utility of them. Please find documentation about this feature here.

Links to notebook examples:

844 B Raw Blame History

Tune GPT Models

844 B

Raw Blame History