langchain/docs
Davis Chase d50de2728f
Add AzureML endpoint LLM wrapper (#6580)
### Description

We have added a new LLM integration `azureml_endpoint` that allows users
to leverage models from the AzureML platform. Microsoft recently
announced the release of [Azure Foundation

Models](https://learn.microsoft.com/en-us/azure/machine-learning/concept-foundation-models?view=azureml-api-2)
which users can find in the AzureML Model Catalog. The Model Catalog
contains a variety of open source and Hugging Face models that users can
deploy on AzureML. The `azureml_endpoint` allows LangChain users to use
the deployed Azure Foundation Models.

### Dependencies

No added dependencies were required for the change.

### Tests

Integration tests were added in
`tests/integration_tests/llms/test_azureml_endpoint.py`.

### Notebook

A Jupyter notebook demonstrating how to use `azureml_endpoint` was added
to `docs/modules/llms/integrations/azureml_endpoint_example.ipynb`.

### Twitters

[Prakhar Gupta](https://twitter.com/prakhar_in)
[Matthew DeGuzman](https://twitter.com/matthew_d13)

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Co-authored-by: Matthew DeGuzman <91019033+matthewdeguzman@users.noreply.github.com>
Co-authored-by: prakharg-msft <75808410+prakharg-msft@users.noreply.github.com>
2023-06-22 01:46:01 -07:00
..
api_reference Doc refactor (#6300) 2023-06-16 11:52:56 -07:00
docs_skeleton Update index.mdx (#6326) 2023-06-20 21:40:20 -07:00
extras Add AzureML endpoint LLM wrapper (#6580) 2023-06-22 01:46:01 -07:00
snippets Documentation Fix: Correct the example code output in the prompt templates doc (#6496) 2023-06-20 17:21:09 -07:00
.local_build.sh Harrison/deeplake new features (#6263) 2023-06-16 17:53:55 -07:00
requirements.txt Doc refactor (#6300) 2023-06-16 11:52:56 -07:00