H2O ai Large Language Models (LLMs) - Level 3

This module introduces students to the essential factors for building GPT models using h2oGPT. It covers what to expect when creating your own GPT model and the key considerations involved in the process.

This module focuses on unleashing the power of h2oGPT and exploring its capabilities as a 100% offline ChatGPT alternative. Students learn about the features and functionality of h2oGPT through detailed video lectures.

This module provides a hands-on workshop focusing on fine-tuning models with H2O LLM Studio. It offers practical experience in applying the concepts learned in previous modules.

This module contains an assignment related to creating your own GPT model and provides a solution to guide learners through the process. It helps consolidate the knowledge gained in previous modules.

This module focuses on diving into LLM EvalGPT and assessing metric evaluations. It covers various methods to evaluate the performance of GPT models and understand different metrics used in the process.

This module provides a comprehensive overview of the H2O Generative AI Ecosystem. It helps learners understand how different H2O tools and components work together in the generative AI space.

This module contains the final assessment quiz for the LLM Level 3 course. It tests the knowledge gained throughout all previous modules and is required for course completion and certification.