OVERVIEW OF THE COURSE

LLMs (Large Language Models) show powerful capabilities, but not knowing how to effectively and efficiently use them often leads to reliability and performance issues. Prompt engineering helps to improve discover capabilities, improve reliability, reduce failure cases, and save on computing costs when building with LLMs.

This is a hands-on, technical course that teaches how to effectively build with LLMs. It covers the latest prompting techniques (e.g., fe-shot, chain-of-thought, RAG, prompt chaining) that you can apply to a variety of complex use cases such as building personalized chatbots, LLM-powered agents, prompt injection detectors, LLM-powered evaluators, and much more.

Topics include:

• Taxonomy of Prompting Techniques

• Tactics to Improve Reliability

• Structuring LLM Outputs

• Zero-shot Prompting

• Few-shot In-Context Learning

• Chain of Thought Prompting

• Self-Reflection & Self-Consistency

• ReAcT Prompting Framework

• Retrieval Augmented Generation (RAG)

• Fine-Tuning & RLHF

• Function Calling & Tool Usage

• LLM-Powered Agents

• LLM Evaluation & Judge LLMs

• AI Safety & Moderation Tools

• Adversarial Prompting (Jailbreaking and Prompt Injections)

• Common Real-World Use Cases of LLMs

• Prompt Engineering for models like GPT-3.5/4, Mixtral, Gemini, and others 

... and much more

PREREQUISITES

• This is a technical course and you need to be knowledgeable in Python to take this course.

• Basic knowledge of LLMs is beneficial but not required.

If you don't have experience using Python, we recommend our beginner's course: https://maven.com/dair-ai/llms-for-everyone

ABOUT THE INSTRUCTOR

Elvis, the instructor for this course, has vast experience doing research and building with LLMs and Generative AI. He is a co-creator of the Galactica LLM and author of the popular Prompt Engineering Guide. He has worked with world-class AI teams like Papers with Code, PyTorch, FAIR, Meta AI, Elastic, and many other AI startups.

Reach out to training@dair.ai for any questions, corporate trainings, and group/student discounts.

WHO THE COURSE HAS HELPED

This course has helped AI startups freelancers, and professionals at companies like Microsoft, Google, LinkedIn, Amazon, Coinbase, Asana, Airbnb, Intuit, JPMorgan Chase & Co, and many others.