H2O ai Large Language Models (LLMs) - Level 3
Master H2O AI tools to build custom h2oGPT models, evaluate performance, and optimize AI workflows efficiently.
Master H2O AI tools to build custom h2oGPT models, evaluate performance, and optimize AI workflows efficiently.
Building on the foundational knowledge from LLM Level 2, this advanced course deepens your expertise in using H2O ai's cutting-edge Generative AI tools and techniques. Guided by a team of AI experts including Sanyam Bhutani, Rob Mulla, and Andreea Turcu, the course explores the H2O ai Generative AI ecosystem, highlighting essential tools like h2oGPT, H2O LLM EvalGPT, and key GenAI components. You will learn how to create custom h2oGPT models, effectively use various evaluation techniques to assess model performance, and understand the functionalities of LLM EvalGPT. By analyzing the elements of the H2O ai GenAI Ecosystem, you'll streamline and enhance your AI workflows. By the end of this course, you will have the knowledge and confidence to apply these advanced tools and techniques to your business scenarios, making your AI projects more efficient and impactful.
Instructors:
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What you'll learn
Build custom h2oGPT models using H2O ai's specialized tools
Employ various evaluation methods to assess model performance
Understand and utilize the functionalities of LLM EvalGPT
Navigate the components of the H2O ai Generative AI Ecosystem
Apply advanced generative AI techniques to business scenarios
Fine-tune models using H2O LLM Studio
Skills you'll gain
This course includes:
1.7 Hours PreRecorded video
1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 7 modules in this course
This advanced course builds upon LLM Level 2 to provide deep expertise in H2O ai's Generative AI ecosystem. Students learn to create custom h2oGPT models using specialized tools and techniques designed for professional AI applications. The curriculum covers model building, evaluation methods, and practical implementation strategies. Through hands-on workshops and guided instruction, participants gain proficiency in fine-tuning models with H2O LLM Studio, utilizing LLM EvalGPT for performance assessment, and navigating the comprehensive H2O Generative AI Ecosystem. The course emphasizes practical applications that can be immediately implemented in business and research environments.
Introduction to Making Your Own GPT
Module 1 · 14 Minutes to complete
Exploring h2oGPT Capabilities
Module 2 · 48 Minutes to complete
Practical Application and Hands-On Workshop
Module 3 · 9 Minutes to complete
Assignments and Solutions
Module 4 · 3 Minutes to complete
Evaluating GPTs and Metrics
Module 5 · 11 Minutes to complete
Overview of H2O Generative AI Ecosystem
Module 6 · 17 Minutes to complete
Course Completion Quiz
Module 7 · 15 Minutes to complete
Fee Structure
Instructor
Data Science and AI Strategy Leader
Andreea Turcu has established herself as a Data Scientist with over 7 years of experience specializing in AI platforms and business transformation. Her expertise lies in translating complex AI concepts into practical business advantages, focusing on creating competitive edges through data-driven solutions. Her perspective that "AI is essentially Economics, turbocharged by data, with a sprinkle of innovation" reflects her practical approach to implementing AI solutions. As a specialist in making AI and Data Science accessible, she develops engaging training programs and integrates machine learning into real-world applications. Her work focuses on bridging the gap between technical AI capabilities and business outcomes, helping organizations navigate the transition to AI-driven operations while maintaining a focus on practical, measurable results. Her approach combines technical expertise with business acumen, enabling organizations to leverage AI effectively for sustainable growth and innovation.
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Frequently asked questions
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