Three exciting speakers with diverse backgrounds in open-source, startups, and research talk about their field of expertise. Thomas Joshi, ML Researcher at Stanford and Co-Leader at The GAI Collective, introduces DSPy - a framework for programming with foundation models. Mark Huang, Co-Founder and Chief Architect at Gradient, proposes a future of AI systems with small fine-tuned models. Finally, Andrew Lyubovsky, ML Engineer at Bloomfield, reviewed self-supervised learning approaches for video understanding.