Large Language Models

Begin your exploration of Large Language Models (LLMs) with our foundational Level 1 course! Tailored for both beginners and those with some machine learning experience, this course provides a deep understanding of essential concepts and techniques in language modeling. Led by Andreea Turcu, H2O ai's expert in AI education, you will start by learning what a language model is and its crucial role in natural language understanding. We'll explore the evolution of these models and delve into the techniques used to develop and refine them. The course also highlights real-world applications across industries, demonstrating the transformative power of LLMs. You will also gain a strong foundation in neural networks and deep learning, essential for mastering advanced AI techniques. A significant portion of the course focuses on transformer architecture, the backbone of modern LLMs, and compares it with other architectures to highlight key innovations. We'll guide you through the methodologies of pre-training and fine-tuning LLMs, emphasizing transfer learning and domain-specific adaptation. By the end of the course, you'll have the skills to create and apply language models effectively, making you a strong candidate for roles in natural language processing, machine learning, and data science. Come aboard our dynamic course, where you'll dive into practical applications of language models and supercharge your AI career!

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 model quality. Using LLM DataStudio, navigate supported workflows, customize interfaces, and implement quality control measures. Learn to set up projects and leverage collaboration features to enhance team efficiency. Master QnA dataset creation, ensuring accuracy through validation and quality assurance processes. Perfect fine-tuning with H2O LLM Studio, where you'll tailor models to specific tasks. Explore workflows, employ data augmentation strategies, and select optimal architectures from pre-trained models. Delve deeper into advanced techniques like Quantisation and LoRA for model compression, optimizing your NLP applications for real-world deployment. Earn your LLM Certification Level 2, showcasing your expertise in data preparation, fine-tuning, and model optimization. This certification is ideal for professionals that are aiming to excel in specialized roles within NLP, machine learning, and data engineering. Join Andreea Turcu in this course and elevate your skills in harnessing LLMs for cutting-edge NLP projects, where you’ll dive into practical applications of language models and supercharge your AI career!