In the 20th session of Multimodal Weekly, we have three exciting speakers with diverse backgrounds in open-source, startups, and research.
✅ Thomas Joshi, ML Researcher at Stanford and Co-Leader at The GAI Collective, will introduce DSPy - a framework for programming with foundation models.
✅ Mark Huang, Co-Founder and Chief Architect at Gradient, will propose a future of AI systems with small fine-tuned models.
✅ Andrew Lyubovsky, ML Engineer at Bloomfield, will review self-supervised learning approaches for video understanding.
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Multimodal Weekly is organized by Twelve Labs, a startup building multimodal foundation models for video understanding. Learn more about Twelve Labs here: https://twelvelabs.io/
