Exploring AI Frontiers: Explainability in Multimodality and Unlabeled Data

Ready to explore the next level of AI development? This meetup focuses on the intersection of multimodality, advanced explainability techniques, and innovative uses of unlabeled data. Designed for AI professionals and researchers, this event is your gateway to mastering complex AI challenges and enhancing model deployment in production environments.

Agenda:

• 5:30pm - Refreshments and Networking
• 6:00pm - Sessions:
• Leonid Karlinsky (IBM Research)
• Yotam Azriel (Tensorleap)
• 7:00pm - Closing Remarks

Our talks:
Leonid Karlinsky's Sessions:

• Enhancing Compositional Reasoning in Vision & Language Models: Delve into methods that improve how models integrate and interpret visual and textual data.
• Boosting Zero-shot/Few-shot Accuracy: Explore advanced techniques using unimodal and unlabeled data to enhance the predictive power of AI systems without extensive training datasets.
• Self-Improving Large Language Models (LLMs): Uncover the mechanisms allowing LLMs to enhance their capabilities autonomously.
• Augmenting LLMs with Modalities and Memory: Investigate how enriching LLMs with additional modalities and memory can drastically expand their functional capabilities.

Yotam Azriel's Sessions:

• Applied Explainability Techniques: Utilize insights from model behavior to refine AI development workflows.
• Improving Model Evaluation: Learn how to effectively predict and understand model performance in new and changing environments—a crucial skill for deploying adaptable AI solutions.
• Closing the Loop in Production Monitoring: Showcase how embedding explainability and active learning into the development cycle can transition AI projects to successful, production-ready deployments.

Why Attend?

• Expert-Led Insights: Gain knowledge from leading figures in AI development, Leonid Karlinsky, Principal Research Scientist at IBM Research and Yotam Azriel, CTO and Co-founder of Tensorleap. These two bring a wealth of experience and cutting-edge research to the discussion.
• Technical Deep Dives: Benefit from technical sessions that not only discuss high-level concepts but also delve into the practical implementations and challenges.
• Network with Industry Leaders: Meet and exchange ideas with peers and experts who are at the forefront of pioneering AI technologies.

Reserve your spot now to be at the forefront of AI innovation!