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Practical Fine-Tuning of LLMs
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GPT-4 Summary: Unravel the complexities of fine-tuning in LLM applications at our enlightening event, designed for everyone from learners to AI engineering leaders. Discover the nuanced world of Supervised Fine-Tuning (SFT) and its pivotal role in building, shipping, and sharing effective LLM applications. This session aims to demystify the primary forms of fine-tuning crucial for enhancing user experiences, including task training, constraining the I-O schema, and language training. Dive into enterprise use cases, live fine-tuning demonstrations with the latest tooling, and a comprehensive Q&A session addressing common theoretical inquiries such as the distinctions between PEFT, LoRA, distillation, and the tradeoffs with prompt engineering. Whether you're seeking to understand the practical applications of fine-tuning, conceptualize SFT to peers, or develop a strategic approach to when and how to fine-tune your LLM applications, this event promises invaluable insights at the frontier of AI development. Join us to elevate your knowledge and application of fine-tuning in the ever-evolving landscape of large language models.
Have a question for a speaker? Drop them here:
Speakers:
Dr. Greg, Co-Founder & CEO
The Wiz, Co-Founder & CTO
Join our community to start building, shipping, and sharing with us today!
Apply for our new AI Engineering Bootcamp on Maven today!
How'd we do? Share your feedback and suggestions for future events.
Have a question for a speaker? Drop them here:
Speakers:
Dr. Greg, Co-Founder & CEO
The Wiz, Co-Founder & CTO
Join our community to start building, shipping, and sharing with us today!
Apply for our new AI Engineering Bootcamp on Maven today!
How'd we do? Share your feedback and suggestions for future events.
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