DSPy End-to-End: Meetup in San Francisco

Thank you to all the in-person attendees and everyone who registered for the event! Here is the recording where we discussed Cohere, Weaviate, Arize, and DSPy. DSPy is a framework that enables you to program and optimize large language model (LLM) systems. DSPy introduces two new concepts: the programming model and compilers. The programming model lets you define each component in an LLM call, such as the task description, examples, and input and output fields. The compilers can then improve the quality and cost of your DSPy program. DSPy has integrations with Cohere’s Command R LLM, Arize Phoenix observability, and the Weaviate vector database. Cohere: https://cohere.com/ Weaviate: https://weaviate.io/ Arize: https://arize.com/ DSPy: https://dspy-docs.vercel.app/ Edge: https://edgeintelligence.xyz/ Chapters 0:00 DSPy End-to-End 0:45 Edge Venue Space 3:36 Introduction to the Meetup 5:07 Daniel Simig from Cohere 16:09 Connor Shorten from Weaviate 27:48 Mikyo King from Arize 35:45 Omar Khattab from Stanford (Creator of DSPy) 1:32:23 Future Events ▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT WITH US ▬▬▬▬▬▬▬▬▬▬▬▬ Visit weaviate.io Star us on GitHub https://github.com/weaviate/weaviate Stay updated and subscribe to our newsletter: https://newsletter.weaviate.io/ Try out Weaviate Cloud Services for free here: https://console.weaviate.cloud/ Got questions? Forum: https://forum.weaviate.io/ Slack: https://weaviate.io/slack Connect with us on Twitter:   / weaviate_io   LinkedIn:   / weaviate-io