Introduction to Prompt Engineering for Generative AI
Offered By: LinkedIn Learning
Course Description
Overview
Start exploring large language models in the modern NLP landscape and get hands-on practice using no-code or low-code interfaces to test out these technologies.
Syllabus
Introduction
- Joining the NLP Revolution
- What is prompt engineering?
- Tokens vs. words
- Large language models
- ChatGPT
- Taking GPT-3 for a ride
- Few shot learning
- Challenge: Zero-shot, few-shot learning
- Solution: Zero-shot, few-shot learning
- The AI-generated image landscape
- Trying out Dall-E
- Trying out Midjourney
- Challenge: Generating a poster
- Solution: Generating a poster
- Fine-tuning your prompts
- Interacting with language models using an API
- Warning: Use responsibly
- Next steps
Taught by
Ronnie Sheer
Related Courses
Stanford Seminar - Enabling NLP, Machine Learning, and Few-Shot Learning Using Associative ProcessingStanford University via YouTube GUI-Based Few Shot Classification Model Trainer - Demo
James Briggs via YouTube HyperTransformer - Model Generation for Supervised and Semi-Supervised Few-Shot Learning
Yannic Kilcher via YouTube GPT-3 - Language Models Are Few-Shot Learners
Yannic Kilcher via YouTube IMAML- Meta-Learning with Implicit Gradients
Yannic Kilcher via YouTube