Boston AI, ML & Computer Vision Meetup – Sept 20

Boston AI, ML & Computer Vision Meetup – Sept 20

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Boston AI, Machine Learning and Computer Vision Meetup

Sept 20, 2024 | 6:00 to 8:00 PM 

Register for the event at Microsoft's NERD

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Date, Time and Location

Date and Time

Sept 20 from 6 PM to 8 PM

Location

The Meetup will take place at Microsoft’s New England Research & Development Center (NERD) located at:

Deborah Sampson Conference Room
Massachusetts Institute of Technology
1 Memorial Dr, Cambridge, MA 02142

Talks and Speakers

Failure Trapping in Large Language Models: AI and Statistical Approaches

Nicholai Mitchko
InterSystems

This talk will discuss rudimentary and advanced techniques to capture generation failures, misalignment, and harmful prompts in AI.

About the Speaker

Nicholai Mitchko runs a team of 11 solution engineers. Nicholai’s team helps healthcare companies build and deploy medtech solutions. Nicholai has 7 years of Healthcare experience and 2 years large language model research.

Fun with production ML on AWS Lambda (in Python)

Alison Kunz
Principal Software Engineer

A surprising number of analytics and ML pipelines begin life as AWS Lambdas. Cheap, fast, easy to change, and simple to scale from prototype through v1, plus every startup has free AWS credits to burn. Let’s explore some hacks for productionizing models and tasks on AWS Lambdas, and when to promote serverless tasks into something else.

About the Speaker

Alison Kunz is a software engineering leader focused on digital products that scale. Bringing over a decade of technical experience with teams ranging from pre-launch to mega-multinational. Passionate about delivering the right software engineering value without burning time, money, or people.

GB-X Model Development: Exploring Four Channel ML Workflows

Dan Gural
Voxel51

Machine Learning is rapidly becoming multimodal. With many models in Computer Vision expanding to areas like vision and 3D, one area that has also quietly been advancing rapidly is RGB-X data, such as infrared, depth, or normals. In this talk we will cover some of the leading models in this exploding field of Visual AI and show some best practices on how to work with these complex data formats!

About the Speaker

Daniel Gural is a seasoned Machine Learning Engineer at Voxel51 with a strong passion for empowering Data Scientists and ML Engineers to unlock the full potential of their data.