Discover the key principles and methodologies in designing and implementing intelligent agents with our distinguished panel.
The panelists will share their experiences in developing various types of agents and discuss the challenges and solutions to building robust, production-ready agentic systems.
In the short time that large language models have gone mainstream, we’ve started to see several patterns that AI researchers and developers have used to build their products. These include things like prompt engineering, prompt templating, chain of thought, vectorized memory and embeddings, and more. They’ve enabled new forms of natural language-based apps and have truly opened people’s imagination to what is possible with AI.
This presentation will cover a few of these recipes and how to build them using the Semantic Kernel, Microsoft’s latest open-source framework for developing AI and large language model applications. The Semantic Kernel incorporates the design patterns from the latest in AI research, and provides a multilingual SDK that developers can use to empower their apps with recursive reasoning, contextual memory, semantic indexing, planning, retrieval-augmented generation, and more. Come cook with us!
Currently, Alex is building next-generation AI products at Microsoft through the Office of the CTO with an emphasis on multimodal and large language models. He's built leading open-source agentic frameworks like Semantic Kernel and has led research on AI systems through projects like GraphRAG.
Over the last decade, Alex has successfully launched applied ML products across industries in health, gaming, finance, defense, energy, autonomous vehicles, semiconductors, and enterprise tech. Alex is motivated to help raise the next generation of data scientists and product leaders and has taught many students for their future success. He is a proud alumni of UC Berkeley! Go Bears!