April 25
@
5:30 pm
–
9:00 pm
Join OpenAI, Microsoft Autogen, Arize AI, MongoDB, Flipkart, Unstructured, and LlamaIndex for an evening focused on deploying LLM-based applications that can handle the demands of the real world.
This event isn’t just about theory – it’s about empowering AI practitioners and technology leaders to build game-changing applications that are reliable, scalable, and solve real business problems. You’ll hear examples of LLMs systems in production being used to create truly intelligent, user-focused systems and learn how to harness their power for your own projects.
Speakers from OpenAI, Microsoft Autogen, Arize AI, MongoDB, Flipkart, Unstructured, and LlamaIndex will be present for an epic evening of workshops and talks – all focused on helping you build game-changing LLM applications that are reliable, scalable, and solve real business problems.
Agenda:
5:30 – 6:00: Arrival & Networking
6:00 – 6:30: [Fireside Chat] LLMs In Production: A Panel with OpenAI & Flipkart
6:30 – 6:50: [Tech Talk] Refining RAG Performance: Leveraging Unstructured for Enhanced Data Ingestion
Chris Maddock, Head of Product Marketing and Solutions Architecture at Unstructured
6:50 – 7:10: [Tech Talk] Chi Wang, Principal Researcher at Microsoft Research
7:10pm – 7:25pm [Tech Talk] Building Better Retrieval and RAG Systems with Evals
Prakul Agarwal, Senior AI Product Manger at MongoDB
7:25pm – 7:40pm [Lightning Demo] Jerry Liu, CEO & Founder at LlamaIndex
7:40 PM – 9:00 PM: Networking & Happy Hour
Enjoy complementary food and drinks while networking with like-minded professionals before and after the talks.
Key topics include:
– Engineering best practices, scalability techniques, testing and evaluation approaches, security considerations, and seamlessly integrating LLMs with user-facing applications
– Proven methodologies for translating state-of-the-art research into high-impact solutions that address concrete business challenges and deliver value to end-users
– Practical insights into cutting-edge tools and frameworks that streamline the development, testing, and deployment of LLM-powered applications
