LLMs Under the Hood – Building Models for Your Unique Use Cases
A comprehensive guide to building, optimizing, and deploying large language models
Created by Maxime Labonne, Denis Rothman, Abi Aryan
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 | Jan 2024 | 242 min
What You Will Learn
You will follow a practical, step-by-step journey through the entire LLM development lifecycle. Experts walk you through architecture selection, data preparation, pre-training, fine-tuning, and model evaluation. You'll also learn how to deploy, monitor, and maintain your models in real-world environments.
Key Features
- Choose the right LLM architecture and configure hyperparameters for your goals
- Curate and prepare high-quality training data to improve model accuracy
- Apply advanced fine-tuning and evaluation methods for reliable deployment
Target Audience
Ideal for data scientists, machine learning engineers, and AI developers with experience in model development. If you want to master building and deploying enterprise-grade LLMs tailored to your organization's needs, and are ready to apply advanced techniques for real business impact, this is for you.
