Part 3: Deployment and Enhancing LLM Performance

This part addresses deployment strategies for LLMS, scalability and infrastructure considerations, security best practices for LLM integration, and continuous monitoring and maintenance. It also explains the alignment of LLMs with current systems, as well as seamless integration techniques, the customization of LLMs for specific system requirements, and security and privacy concerns in integration. Additionally, you will learn about quantization, pruning, and knowledge distillation, as well as advanced hardware acceleration techniques, efficient data representation and storage, how to speed up inference without compromising quality, and how to balance cost and performance in LLM deployment.

This part contains the following chapters:

• Chapter 7, Deploying LLMs in Production
• Chapter 8, Strategies for Integrating LLMs
• Chapter 9, Optimization Techniques for Performance
• Chapter 10, Advanced Optimization and Efficiency...