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Explore the fundamentals of open source models in this 54-minute lunch and learn session. Gain an introduction to the world of open source artificial intelligence and machine learning models, understanding their significance, applications, and how they differ from proprietary alternatives. Learn about the various types of open source models available, their licensing structures, and the communities that develop and maintain them. Discover practical insights into implementing and working with open source models in real-world scenarios, including considerations for model selection, deployment, and customization. Understand the benefits and challenges of using open source models, including cost considerations, transparency, and community support. Get guidance on where to find reliable open source models, how to evaluate their quality and suitability for specific use cases, and best practices for integration into existing workflows or projects.
Syllabus
Lunch & Learn: Intro to Open Source Models
Taught by
Tina Huang