Generative AI and LLMOps: Building Blocks and Applications

سرفصل های دوره

As large language models are becoming increasingly prevalent in various industries, professionals need to understand how to build, fine-tune, and deploy these models effectively and responsibly. In this course, learn the foundations of building, fine-tuning, and deploying LLMs in real-world applications. Instructors Soham Chatterjee and Archana Vaidheeswaran start with an introduction to LLMs and their evolution in the AI landscape. They then dive into LLM architectures, show you how to fine tune strategies for custom tasks, explain why and how to compress LLMs, and, finally, cover important aspects of prompt engineering. Through the course, they offer a series of challenges and solutions so you can practice the lessons as you go.

01 - Introduction

01 - LLMs for industry

02 - Industry-specific LLMs

02 - 1. Introduction to LLMs and Their Applications

01 - Understanding LLMs and their evolution

02 - Real-world applications of LLMs

03 - 2. Diving Into LLM Architectures

01 - Overview of LLM architectures

02 - How LLMs process and generate text

03 - The building blocks of LLMs

04 - Using a simple LLM

05 - Challenge LLM for sentiment analysis

06 - Solution LLM for sentiment analysis

04 - 3. Fine-Tuning Strategies for Custom Tasks

01 - Introduction to fine-tuning for LLMs

02 - Step-by-step guide to fine-tuning LLMs

03 - Best practices for fine-tuning LLMs

04 - Challenge Fine-tune a pre-trained LLM

05 - Solution Fine-tune a pre-trained LLM

05 - 4. Compression Techniques for LLMs

01 - Why compress LLMs

02 - Introduction to quantization and pruning

03 - Hands-on Implementing compression in LLMs

04 - Challenge Quantize a LLM

05 - Solution Quantize a LLM

06 - 5. Prompt Engineering for Effective LLM Communication

01 - What is prompt engineering

02 - Best practices for effective prompt engineering

03 - Types of prompt engineering

04 - Challenge Prompting LLMs to generate text

05 - Solution Prompting LLMs to generate text

07 - Conclusion

01 - Next steps

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تولید کننده: LinkedIn Learning (Lynda)