Ortal Ashkenazi

Gong
Navigating the Uncharted: Robust Prompt Quality Assurance in the Age of Language Models

Bio

Ortal is a Senior Researcher specializing in Natural Language Processing (NLP) in Gong’s AI division. She holds an MSc from the Technion and shares her experiences in conferences and meetups.

Abstract

In an era dominated by large language models, ensuring the robustness and quality of prompts is paramount. This roundtable will delve into the challenges of understanding the impact of prompt modifications, dealing with the periodic upgrades to foundation models, model deprecation, and selecting the most suitable models for the task. Participants will share strategies for evaluating prompt performance, discuss methods to identify and address pitfalls, and explore decision-making processes in the ever-evolving landscape of language models.

Join us for a collaborative exchange of coping methods and insights into prompt quality assurance.

Agenda

8:45 Reception
9:30 Opening remarks by WiDS TLV ambassadors Noah Eyal Altman, Or Basson, and Nitzan Gado
9:45 Dr. Aya Soffer, IBM: "Putting Generative AI to Work: What Have We Learned So Far?"
10:15 Prof. Reut Tsarfaty, Bar-llan University: "Will Hebrew Speakers Be Able to Use Generative AI in Their Native Tongue?"
10:45 Poster Pitches
10:55 Break
11:10 Lightning talks
12:30 Lunch & poster session
13:30 Roundtable session & poster session
14:15 Roundtable closing
14:30 Break
14:40 Naomi Ken Korem, Lightricks: "Mastering the Art of Generative Models: Training and Controlling Text-to-Video Models"
15:00 Dr. Yael Mathov, Intuit: "Surviving the AI-pocalypse: Your Guide to LLM Security"
15:20 Closing remarks
15:30 The end