Name: LLM & Deep Learning Tutorials, sponsored by LastMile AI 🤖
Start: 2024-03-13T18:30:00-04:00
End: 2024-03-13T20:30:00-04:00
Location: Americas Tower

Join PyData NYC at 1177 Avenue of Americas (IBM) on Mar 13th 6:30 PM for a workshop night with Andrew Hoh (Chief Product Officer at LastMile AI) and Nick Lourie (PhD Student at NYU).

🍕 Pizza and drinks sponsored by [LastMile AI](https://lastmileai.dev/)! Thank you.

**Agenda:**
**Building LLM Applications in Production : 45 mins**
Speaker: Andrew Hoh
Andrew Hoh is the President and Co-Founder of [LastMile AI](https://lastmileai.dev/). Previously, he was a Group PM Manager at Meta AI, driving product for their AI Platform. Previously, he was the Product Manager for the Machine Learning Infrastructure team at Airbnb and a founding team member of Azure Cosmos DB, Microsoft Azure's distributed NoSQL database. He graduated with a BA in Computer Science from Dartmouth College.

**But, Did You Tune the Hyperparameters Enough?** **: 30 mins**
Speaker: Nick Lourie
Imagine you're working on a neural net. You come up with a great idea! Maybe the model learns better if trained on the shortest examples first. So, you order the examples, feed them to the model, evaluate it, and find... the performance got worse! Is the idea bad? Or, did you just need to tune the learning rate? [Optimal design analysis (OPDA)](https://github.com/nicholaslourie/opda) answers these questions in a statistically rigorous way, so you can spend more time trying out exciting new ideas and less time guessing whether they actually work.

**Networking: 30 mins**
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 Mar 11
Doors @ 6 pm
Event @ 6:30 - 8:30 pm
Venue provided by IBM: 1177 Ave of Americas
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The building requires a government-issued photo ID for entrance.
This, and all PyData NYC events, is an all-levels 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. More at https://pydata.org/code-of-conduct/
This event may be recorded.

Abby Tse

Hajime.T

AJ Khan

Kripamoye Biswas

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LLM & Deep Learning Tutorials, sponsored by LastMile AI 🤖  

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