Wednesday July 2, 2025, 12 PM EDT: 5 PM BST
Generative AI, through the evolution of large language models (LLMs), has had a profound impact on the way businesses create new content, ideas and solutions. Despite the many benefits of Generative AI, organizations still struggle with security issues, leading to the development of large behavioral models (LBMs). These models incorporate behavioral data, extending the capabilities of LLMs into an entirely new set of use cases. This has positive implications for tasks that require the automation of real user behavior, with software testing standing out.
In this webinar, we will explore the evolution from LLMs to LBMs, their architecture, and the technical details of how these models are trained. We will also discuss why and how LBMs and multi-agent systems can work together to address the shortcomings that have given traditional software testing a bad reputation. Finally, we will take a quick look at the significance of Ethical AI and how it can be implemented in business. If you are seeking a brilliant, futuristic solution that adopts the latest advancements in AI, this session will enhance your understanding of how LBMs function and their potential impact on your business through the lens of software testing.
What You’ll Learn About
- The evolution from LLMs to LBMs: Explore how model development has shifted toward automating human behavior through behavioral data.
- How LBMs are built: Understand the architecture and training processes involved in developing an LBM.
- Modernizing testing with LBMs: Discover how LBMs and multi-agent systems can address the limitations of traditional software testing.
- The case for Ethical AI: Learn the fundamentals of Ethical AI and how businesses can implement responsible AI practices.
Meet Your Expert Speakers
Gain insights into AI-powered software testing from industry experts known for their thought leadership and hands-on experience in solving client challenges, with AI at the forefront.
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Saravana has been leveraging AI and Generative AI to solve client challenges for over a decade. At Qualitest, he leads AI and GenAI initiatives across North America as part of the Technology Center of Excellence.
Ivo Tanku, Ph.D., is an expert in Large Language Model (LLM) testing and a passionate data scientist. With a strong academic background and experience working with Fortune 100 companies, he brings deep expertise in AI model evaluation, testing, and deployment.
Geric is a data scientist with experience in AI and Generative AI projects across diverse industries, including technology, retail, and healthcare. At Qualitest, he is currently developing an ML model to optimize QA processes for a healthcare company.
