WHAT WE LEARNED TEACHING LLMS TO 1,000s OF DATA SCIENTISTS
In this special live-streamed recording of Vanishing Gradients, Hugo speaks with Hamel Husain and Dan Becker, the instructors of the immensely successful "Mastering LLMs: A Conference For Developers & Data Scientists," as they share their experiences and insights from teaching over 2,000 students. The course, which initially anticipated a few hundred participants, quickly expanded to include 10-20 guest speakers and received support from industry leaders like OpenAI, Hugging Face, Modal, and Replicate.
In this livestream, Hamel, Dan, and Hugo will discuss:
The course's journey from focusing on fine-tuning to encompassing a broad range of LLM topics and applications
Insights and lessons learned from the diverse lineup of guest speakers, including Jeremy Howard, Sophia Yang, Simon Willison, and many more
The importance of collaboration and community in learning about and advancing AI technologies
Key takeaways and best practices for working with LLMs, fine-tuning, and building AI applications
Emerging trends and future directions in LLMs and AI
Lessons learned about the learning preferences and needs of data scientists and AI practitioners
The livestream will also highlight the value of the course's thriving Discord community, where students and speakers engage in discussions and share their expertise.
Whether you're a data scientist, AI practitioner, or simply interested in the latest developments in LLMs and AI, this livestream offers valuable insights and lessons from two experienced instructors and a wide range of industry experts.