Dev2049/azure endpoint #6580
Merged
Dev2049/azure endpoint #6580
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
### 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) --------- Co-authored-by: prakharg-msft <75808410+prakharg-msft@users.noreply.github.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
|
The latest updates on your projects. Learn more about Vercel for Git ↗︎ 1 Ignored Deployment
|
tconkling
added a commit
to tconkling/langchain
that referenced
this pull request
Jun 22, 2023
* master: MD header text splitter returns Documents (langchain-ai#6571) Fix callback forwarding in async plan method for OpenAI function agent (langchain-ai#6584) bump 209 (langchain-ai#6593) Clarifai integration (langchain-ai#5954) Add missing word in comment (langchain-ai#6587) Add AzureML endpoint LLM wrapper (langchain-ai#6580) Add OpenLLM wrapper(langchain-ai#6578) feat: interfaces for async embeddings, implement async openai (langchain-ai#6563) Upgrade the version of AwaDB and add some new interfaces (langchain-ai#6565) add motherduck docs (langchain-ai#6572) Detailed using the Twilio tool to send messages with 3rd party apps incl. WhatsApp (langchain-ai#6562) Change Data Loader Namespace (langchain-ai#6568) Remove duplicate databricks entries in ecosystem integrations (langchain-ai#6569) Fix whatsappchatloader - enable parsing new datetime format on WhatsApp chat (langchain-ai#6555) Wait for all futures (langchain-ai#6554) feat: faiss filter from list (langchain-ai#6537) update pr tmpl (langchain-ai#6552) Remove unintended double negation in docstring (langchain-ai#6541) Minor Grammar Fixes in Docs and Comments (langchain-ai#6536)
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Description
We have added a new LLM integration
azureml_endpointthat allows usersto leverage models from the AzureML platform. Microsoft recently
announced the release of Azure Foundation
Models
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_endpointallows LangChain users to usethe 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_endpointwas addedto
docs/modules/llms/integrations/azureml_endpoint_example.ipynb.Twitters
Prakhar Gupta
Matthew DeGuzman