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ABOUT THE SPEAKER:
Manav is an accomplished ML engineer and technical leader with deep experience in evaluations, reinforcement learning, information retrieval, and applied AI systems. At Raindrop AI, he works across machine learning, product, and software engineering, with a focus on monitoring and building AI agents for the real world. He previously led engineering at Dippy AI and Datapoint AI, where he scaled consumer AI systems to 10M+ users.
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ABSTRACT:
To turn the art of building AI agents into a science, you need a way to measure progress — and measuring an agent turns out to be far harder, and far more important, than measuring a model. This talk is about how to actually evaluate agents: what to measure, how the field gets it wrong, and why good measurement is what eventually lets agents improve themselves.
What we’ll explore:
WHAT YOU’LL LEARN:
I have a unique vantage point on how some of the world’s leading AI companies are creating their AI agent lifecycles and developing their agent improvement flywheels.
Business Leaders: C-Level Executives, Project Managers, and Product Owners will get to explore best practices, methodologies, principles, and practices for achieving ROI.
Engineers, Researchers, Data Practitioners: Will get a better understanding of the challenges, solutions, and ideas being offered via breakouts & workshops on Natural Language Processing, Neural Nets, Reinforcement Learning, Generative Adversarial Networks (GANs), Evolution Strategies, AutoML, and more.
Job Seekers: Will have the opportunity to network virtually and meet over 30+ Top Al Companies.
Ignite what is an Ignite Talk?
Ignite is an innovative and fast-paced style used to deliver a concise presentation.
During an Ignite Talk, presenters discuss their research using 20 image-centric slides which automatically advance every 15 seconds.
The result is a fun and engaging five-minute presentation.
You can see all our speakers and full agenda here