[NEW] 2025: Quantization for Gen-AI

Large Language Models (LLMs) are transforming industries, and this course provides the skills to harness their power. Learn the fundamentals of generative AI and LLMs to revolutionize your work.

Course Objectives:

• Understand Generative AI & LLMs: Gain a solid foundation in the core concepts and principles driving large language models.
• LLM Configuration: Explore how to fine-tune LLM parameters to optimize performance for specific tasks.
• Stateless vs. Stateful LLMs: Differentiate between stateless LLMs and stateful LLMs and their best use cases.
• Base vs. Instruction-Tuned LLMs: Learn the difference between base LLMs and instruction-tuned LLMs and when to use each.
• LLM Training Economics: Explore the costs associated with model training, including insights from the influential Kalpan Paper.
• Chinchilla Paper Insights: Delve into the groundbreaking research of the Chinchilla Paper and its impact on LLM development.
• Model Quantization: Master quantization techniques to reduce LLM size and improve efficiency.
• Post-Training Quantization (PQT) & Quantization-Aware Training (QAT): Understand the differences between PQT and QAT for optimized performance.
• Quantization Tools & Packages: Explore available quantization packages and tools for practical implementation.
• Practical LLM Quantization: Learn the step-by-step process of quantizing LLMs to enhance performance and reduce computational demands.

Why Choose This Course?

• Comprehensive LLM Coverage: From basic principles to advanced techniques, this course offers a thorough understanding of large language models.
• Hands-On Experience: Apply your knowledge through practical exercises and projects, building real-world AI applications.
• Expert Instruction: Learn from experienced instructors who will guide you through the complexities of generative AI.
• Cutting-Edge Content: Stay up-to-date with the latest advancements in generative AI and LLM technology.

Enroll now and become proficient in large language models and generative AI!