Portland AI/ML/Data Developer Group

 
 
 

Welcome to our in-person ML monthly meetup in Seattle, in collaboration with JPMorgan Chase. Join us for deep dive tech talks on AI/ML, food/drink, networking with speakers&peers developers, and win lucky draw prizes.

[RSVP instructions]

• Register at the event website. (full name is required for badges and check in. NO walk-ins, NO access without badge)
• Contact us to submit topics and/or sponsor the meetup on venue/food/swags/prizes. https://forms.gle/JkMt91CZRtoJBSFUA
• Community on Slack for events chat, speakers office hour and sharing learning, job openings and projects collaboration. join slack

Agenda:

• 5:00pm~5:30pm: Checkin, Food/drink and networking
• 5:30pm~5:40pm: Welcome/community update/Sponsor intro
• 5:40pm~7:30pm: Tech talks
• 7:30pm~8:00pm: Lucky draw & Mixer

Tech Talk 1: An Introduction to Large Language Models
Speaker: Aviral Joshi, Applied AI/ML Associate @JPMorgan Chase
Abstract: This talk will introduce to the landscape of Large Language Models (LLMs), their inner workings, emergent properties and application within JPMorgan Chase.

Tech Talk 2: ML Training Data Monitoring
Speaker: Shailender Singh, Lead Data Scientist @JPMorgan Chase
Abstract: To accelerate the AI/ML efforts in the firm, TDMP is being developed as a capability for (1) acquisition of data for the purpose of ML, (2) subsequent refinement, transformation and critical quality checks; and (3) automated documentation of lineage, feature selection and data transformation, along with associated meta-data and intelligence for create training datasets for ML models that meet firmwide Model and Analytic Tool standards. This talk will showcase a walkthrough of Training Data Platform.

Tech Talk 3: Federated Data Lake
Speaker: Kai Chang, software engineer @JPMorgan Chase
Abstract: A discussion of the JPMC Advanced Data Ecosystem (JADE) Federated Data Lake, including lessons learned.

Tech Talk 4: TBD