Cracking the Code: How to Choose the Right LLMs Model for Your Project

Course Overview:

Duration: 1 Hour

Selecting the right AI model isn't a one-size-fits-all solution. It's a strategic process that demands careful evaluation, precise testing, and a methodical approach to finding your ideal technological match. Choosing incorrectly can decimate your return on investment, dramatically extend project timelines, and consume substantial staff resources in futile training attempts. In this hands-on workshop we’ll show you how to test and optimize models for your project.

What we’ll cover:

🔷 Conduct comprehensive model testing across diverse scenarios

🔷 Perform prompt engineering and hyperparameter optimization

🔷 Deploy model in a chatbot environment

🔷 Systematically rate and evaluate performance results

🔷 Execute targeted model fine-tuning

🔷 Benchmark against off-the-shelf models in sandbox environment

Why This Matters:

Whether you're a data scientist, startup founder, or tech leader feeling overwhelmed by AI choices, this webinar is your cheat code. We're ditching academic jargon for practical, actionable insights that will save you time, money, and countless headaches.

Walk away with a strategy for finding the AI model that's not just good—but perfect for your specific needs.

Instructor:

Ivan Lee

CEO / Founder | Datasaur

Ivan Lee, Stanford CS grad, founded his first mobile gaming company, later acquired by Yahoo. After building AI products at Yahoo and Apple, he launched Datasaur to democratize NLP. Backed by $8M in funding, Datasaur supports top clients like Google and Netflix. Ivan Lee graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur has raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify, the FBI and more.