Building on the foundational knowledge from LLM Level 2, this advanced course, Large Language Models - Level 3 is designed to deepen 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 begins with an in-depth exploration of the H2O ai Generative AI … [Read more...] about H2O ai Large Language Models (LLMs) – Level 3
Machine Learning
H2O ai Large Language Models (LLMs) – Level 2
Continue your exploration of Large Language Models (LLMs) with Andreea Turcu's foundational Level 2 course! Specially designed for those with foundational knowledge, this course delves deep into optimizing Natural Language Processing (NLP) models through robust data practices. Discover the critical role of clean data and effective data preparation techniques essential for NLP … [Read more...] about H2O ai Large Language Models (LLMs) – Level 2
ChatGPT + Zapier: Automate Email Replies with AI
Tired of spending hours manually replying to emails? In ChatGPT + Zapier: Automate Email Replies with AI, you’ll learn how to transform your inbox management process by setting up automated AI-driven email replies. This course will show you how to connect labeled emails and folders to workflows that draft responses while you triage your inbox. By the time you’ve finished … [Read more...] about ChatGPT + Zapier: Automate Email Replies with AI
Machine Learning: Random Forest with Python from Scratch
Embark on a journey through the exciting world of machine learning, starting with the foundations of Python programming. You'll begin by mastering Python’s essential data types, loops, and decision-making constructs, gaining a strong coding foundation. As you progress, you’ll dive into machine learning, exploring how it mimics human learning, processes datasets, and applies … [Read more...] about Machine Learning: Random Forest with Python from Scratch
Mastering Neural Networks and Model Regularization
The course "Mastering Neural Networks and Model Regularization" dives deep into the fundamentals and advanced techniques of neural networks, from understanding perceptron-based models to implementing cutting-edge convolutional neural networks (CNNs). This course offers hands-on experience with real-world datasets, such as MNIST, and focuses on practical applications using the … [Read more...] about Mastering Neural Networks and Model Regularization
