Function Calling: Teaching LLMs to use tools and extract structured data
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Speaker
Katja Wittfoth
2
talks
Katja is a Machine Learning Engineer visiting from San Francisco. She has worked at YC and a16z-backed Silicon Valley startups and has a Master's in Data Science & Machine Learning from USF. Katja is currently between jobs and advising early-stage startups on AI as well as mentoring data professionals.
Bio from: July Members Talk evening with Kraken Technology
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In this talk, I will explore prompt engineering, a key part of gen AI systems. We will discuss how to create effective prompts, how these methods have evolved, and what are the new finding from the recent research. The main focus will be on text-based prompting techniques such as Few-shot Prompting, Chain of Thought (CoT), and various reasoning and decomposition methods.