Python and Data analysis - Streamlit, RAG, and GPU based Inference
Details
Want to learn more about Python and meet other Pythonistas?
🚨 IMPORTANT: YOU MUST REGISTER ON TITO PRIOR TO THIS EVENT!
🚨 ➡️ REGISTRATION LINK HERE ⬅️
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SCHEDULED TALKS
🔎 Talk (~15 mins + Q&A)
A Python App to Explore how Covid Changed America
Speaker: Ari Lamstein, Staff Data Science Engineer @ MarketBridge
Abstract: Using Streamlit and Censusdis packages to enable exploration of Covid-19 demographics data.
🔎 Announcements (5 mins)
Announcement for Upcoming 2024 PyBay Conference
Chris Brousseau, 2024 PyBay Conference Chair
🔎 Talk (~25 mins + Q&A)
Introduction to RAG
Speaker: Jason Koo, Developer Advocate Manager @ Neo4j
Abstract: Review the basic concepts of RAG to provide an understanding of the base technology, and then work through a few python examples with neo4j.
🔎 Talk (~25 mins + Q&A)
Deploying Embeddings Inference in Production
Speaker: Josh Ferge, Senior Software Engineer, @ Sentry
Abstract: Deploying machine learning models, especially transformers, in production is a significant challenge. At Sentry, we created a new grouping algorithm using embeddings. While it's feasible in a Jupyter notebook, scaling it in production is complex. This talk will cover:
- Our Flask service for model deployment
- Use of PyTorch and the Sentence Transformers Library
- Benchmarking with Locust
- Managing CPU and GPU inferences
AGENDA
6:30p Reconnect with friends!
7:00p Opening remarks, sponsors acknowledgement
7:10p Scheduled talks and Q&A + networking break
8:30p Wrap up last talk, more networking
👉 Submit your 5, 15 or 25 mins talk proposals here: https://bit.ly/sfpython-cfp
THIS EVENT IS PRODUCED BY
SF Python, a volunteers-run organization aiming to foster the Python Community in the Bay Area