The landscape of Large Language Models (LLMs) and Generative AI (GenAI) is rapidly transforming. For developers, understanding the core technical changes driving this evolution is essential for building cutting-edge products and applications. This talk will provide an intermediate-level exploration of recent advancements in LLM and GenAI models, moving beyond the surface-level buzz to examine the key architectural innovations, scaling achievements, and training methodologies that are shaping the field.

We will then translate these technical shifts into practical implications for your work. Discover how these advancements are enabling new application possibilities, improving existing features, and influencing development workflows. Learn about the impact of longer context windows, more capable models, improved instruction following, and the emergence of multimodality. This session will equip you with actionable insights and a clearer understanding of how to leverage the power of modern GenAI in your projects.

Target Audience: This talk is designed for developers with an intermediate level of technical skill and some basic familiarity with AI/ML concepts. They are likely interested in understanding how these technologies work under the hood and, more importantly, how they can be applied in their daily work.

Key Takeaways: Attendees will gain a better understanding of the recent technical changes in LLMs and GenAI, learn about the practical implications of these changes for application development, and be inspired with new ideas for leveraging these technologies in their projects.