LLMs in Production

This comprehensive playbook offers practical strategies for deploying, optimizing, and scaling Large Language Models with Generative AI, guiding ML engineers, data scientists, and MLOps practitioners through core concepts such as retrieval-augmented generation, fine-tuning techniques, prompt engineering, and cost-effective deployment across various platforms. It features expert insights on operationalizing LLMs securely and efficiently, along with hands-on projects like training custom models and deploying AI on edge devices. Whether you're looking to enhance application capabilities or streamline AI workflows, this resource provides the technical foundation to implement LLMs in real-world settings.