Vector Databases and Machine Learning Paradigms ⭐️

Join PyData NYC at 11 Times Square (Microsoft) on July 17th at 6:30 pm for a talk night with Art Anderson (Aerospike, Sr Dev Experience Engineer) and Ilia Zlobin (Systems Architect). Please bring your 💻 to code and sign up with your government official name.

🍕 Pizza, drinks & venue sponsored by Microsoft Reactor - thank you!

Agenda:
Supercharging Real-time Applications with Vector and Graph
Speaker: Art Anderson, Sr Dev Experience Engineer (Aerospike)
Embark on a journey connecting key-value, vector, and graph to build real-world applications showcasing Retrieval Augmented Generation (RAG) using semantic search along with recommendation engines, user profile stores, and more. Unlock the full potential of your real-time applications with multi-model databases and see how Python pulls this all together.

New Machine Learning Paradigm with DSPy: No Prompt Engineering Required
Speaker: Ilia Zlobin, Systems Architect
Prompt engineering has some limitations in that you have to tailor it to a particular use case and then adjust and support it as your application continues to evolve. With DSPy, you look at the problem from the traditional machine learning perspective where you operate with datasets orchestration, evaluation metrics and hyper-parameters tuning to improve performance on the task. DSPy gives you exactly that but for LLMs and with much lower requirements in terms of training data size, hardware resources needed. With a slight effort you could gain a great boost in performance and could seamlessly continue increasing your application complexity.

Networking
Connect with fellow data enthusiasts, professionals, and community leaders. Build meaningful connections and forge collaborations.

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RSVP is required; please note that walk-ins will not be accepted.
Note: Per building policy, RSVPs will close at 12 pm on June 10th.
Doors open @ 6 pm
Doors close @ 7 pm
Event @ 6:30 - 8:30 pm
Venue provided by MSFT: 11 Times Square
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The building requires a government-issued photo ID for entrance. This, and all PyData NYC events, is an all-level event. Newcomers and beginners are welcome.This and all NumFOCUS-affiliated events and spaces, both in-person and online, are governed by a Code of Conduct.
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This event may be recorded.