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Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the development and deployment of RAG-based LLM applications for production in this 30-minute talk by Philipp Moritz and Yifei Feng. Learn how to scale major workloads like data loading, preprocessing, embedding, and serving on a cluster. Discover techniques for evaluating different configurations and deploying applications effectively. Gain insights into Anyscale Endpoints, a cost-effective solution for serving popular open-source models. Benefit from the expertise of Philipp Moritz, co-creator of Ray and CTO of Anyscale, and Yifei Feng, who leads Infrastructure and SRE teams at Anyscale, as they share their knowledge on building scalable AI applications.

Building RAG-based LLM Applications for Production - LLMs III Talk

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#Computer Science #Machine Learning #Retrieval Augmented Generation (RAG) #MLOps #Artificial Intelligence #Natural Language Processing (NLP) #LLM (Large Language Model) #Data Science #Data Preprocessing #Embeddings #Distributed Computing #Cluster Computing #Anyscale

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Building RAG-based LLM Applications for Production - LLMs III Talk

Building RAG-based LLM Applications for Production // Philipp Moritz & Yifei Feng // LLMs III Talk