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Learn how to use Hugging Face and LangChain, how to apply transformers and diffusion models, and how to build and deploy AI applications. Level up your skills through hands-on training sessions with the builders, makers, and maintainers of Ray. Exclusive to Ray Summit attendees.
Make sure to visit Self-paced Learning Platform to access more resources, including production-ready implementations of LLMs and Generative AI use cases.
| Time (PDT) | Session |
|---|---|
| 9:00am - 12:00pm | Implementing a production MLOps pipeline to deliver end-to-end ML applications at scale |
| 9:00am - 12:00pm | Learn How to Build and Productionize LLM-Powered Applications with Ray and Anyscale |
| 9:00am - 12:00pm | Introduction to Ray AI Libraries for Deep Learning |
| Time (PDT) | Session |
|---|---|
| 1:00pm - 4:00pm | Ray Core Deep Dive: API, Architectures and Best Practices |
| 1:00pm - 4:00pm | Practical Data and Evaluation Considerations for Building Production-Ready LLM Applications with LlamaIndex and Ray |
| 1:00pm - 4:00pm | Real-time ML - Deploying Online Inference Pipelines |
| 1:00pm - 4:00pm | GenAI - Fine-tuning and Deploying Stable Diffusion Models with Ray and Anyscale |
You can learn and get more involved with the Ray community of developers:
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Access the latest resources, including production-ready implementations of LLMs and Generative AI use cases.
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Browse the ecosystem and use this site as a hub to get the information that you need to get going and building with Ray.
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Find friends to discuss your new learnings in our Slack space.
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Ask questions, follow topics, and view announcements on this community forum.
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