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Overview
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Learn to strategically select and optimize Large Language Models (LLMs) for your specific project needs in this comprehensive hands-on workshop. Master the systematic process of evaluating AI models through comprehensive testing across diverse scenarios, avoiding costly mistakes that can devastate ROI and extend project timelines. Discover how to conduct thorough model testing, perform prompt engineering and hyperparameter optimization, and deploy models in chatbot environments while systematically rating performance results. Execute targeted model fine-tuning techniques and benchmark against off-the-shelf models in sandbox environments to find your ideal technological match. Gain practical, actionable insights that move beyond academic theory to real-world application, whether you're a data scientist, startup founder, or tech leader navigating the overwhelming landscape of AI choices. Walk away with a concrete strategy for identifying AI models that perfectly align with your specific requirements, complete with hands-on experience using provided code notebooks and comprehensive testing methodologies that will save time, money, and development resources.
Syllabus
Cracking the Code How to Choose the Right LLMs Model for Your Project with Ivan Lee
Taught by
Open Data Science