Build enterprise-grade Q&A at scale with Open LLMs on AWS

2024 ж. 15 Мам.
2 286 Рет қаралды

This exciting livestream hosted by Pinecone and Anyscale, the company behind Ray, explores how developers can build a reliable and scalable question-answering system on Amazon Web Services (AWS) using open LLMs.
Learn how to effortlessly harness the built-in integration between Anyscale, and Pinecone to build AI applications on AWS. Discover how these powerful tools work together to enhance the efficiency and effectiveness of your Q&A system, enabling you to create a well-architected LLM application.
Enhancing answer reliability is crucial, and we will show you how to leverage Pinecone's long-term memory capabilities to mitigate hallucination and ground your answers in factual information. You can significantly improve reliability and accuracy by incorporating long-term memory into your Q&A system.
Gain valuable insights into designing a well-architected LLM application on AWS. Explore best practices for optimizing performance, reliability, and scalability, and learn how to build an enterprise-grade Q&A system that can scale effortlessly.

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  • Good demo and very informative! Thanks a ton

    @user-ch8mx1ud5b@user-ch8mx1ud5b8 ай бұрын
    • Glad you enjoyed it and thanks for the feedback!

      @pinecone-io@pinecone-io8 ай бұрын
  • there are a bunch of things missing on the readme

    @juancasas5532@juancasas55328 ай бұрын
  • i think you also have to do pip install ray llama_index

    @juancasas5532@juancasas55328 ай бұрын
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