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Learn how to build and operationalize generative AI applications by combining Google Cloud's PaLM 2 language model with the LangChain framework in this comprehensive technical session. Explore the fundamentals of Google Cloud's AI & ML portfolio, understand typical LLM usage patterns, and master key LangChain concepts including Chains, Agents, Memory, Models, Prompts, and Indexes. Follow along with hands-on demonstrations covering the creation of simple generative apps, memory-enabled chat applications, and retrieval augmented generation implementations. Gain practical insights through three detailed demos that showcase developer steps and best practices for integrating PaLM 2 with LangChain. Conclude with an interactive Q&A session addressing common implementation challenges and advanced use cases. Perfect for developers looking to leverage Google Cloud's next-generation language model capabilities while taking advantage of LangChain's flexibility and ease of use.
