MLflow is one of the most used open source machine learning frameworks with over 13 million monthly downloads. With the recent advancements in generative AI, MLflow has been rapidly integrating support for a lot of the popular AI tools being used such as Hugging Face, LangChain, and OpenAI. This means that it’s becoming easier than ever to build AI pipelines with your data as the foundation, yet expanding your capabilities with the incredible advancements of the AI community.
Come to this session to learn how MLflow can help you:
– Easily grab open source models from Hugging Face and use Transformers pipelines in MLflow
– Integrate LangChain for more advanced services and to add context into your model pipelines
– Bring in OpenAI APIs as part of your pipelines
– Quickly track and deploy models on the lakehouse using MLflow
Talk by: Corey Zumar and Ben Wilson
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