Packt Expert
Maxime Labonne
Maxime Labonne is a Senior Staff Machine Learning Scientist at Liquid AI and one of the most followed practitioners in open-source LLM engineering, known for his widely used LLM course, his work on model fine-tuning and merging, and his Packt-published books on graph neural networks and LLM engineering. He holds a PhD in machine learning and teaches how production language models are actually built, from post-training to deployment.
3 Courses by Maxime Labonne
Hands-On Graph Neural Networks Using Python
Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch
Explore how to build and train graph neural networks using Python and PyTorch Geometric. Gain practical experience working with graph data and learn to apply these models to real-world problems in areas like recommendation systems and traffic forecasting. Develop skills that help you create, analyze, and deploy powerful graph-based solutions.
Packt | 2023 | 354 min
LLMs Under the Hood – Building Models for Your Unique Use Cases
A comprehensive guide to building, optimizing, and deploying large language models
Explore the full process of building, optimizing, and deploying large language models designed for your unique business needs. Guided by industry experts, you'll gain practical skills to create high-performing LLMs that drive real results. Move from architecture decisions to hands-on deployment with confidence.
Packt | 2024 | 242 min
LLM Engineer's Handbook
Master the art of engineering large language models from concept to production
Explore the full process of building, training, and deploying large language models with a focus on practical, production-ready solutions. You'll gain hands-on experience in data engineering, fine-tuning, and deploying LLMs that are scalable and efficient.
Packt | 2024 | 522 min