Key Topics
Python
- Introduction to Python for AI: syntax, data types, and control structures
- Building simple Python scripts to interact with AI models
- Various libraries like transformers, openai, and diffusers
Generative AI
- Foundations of Generative AI, including language models and image generation models
- Learn how models like GPT and DALL·E work under the hood
- Explore use cases such as AI-generated text, and images
Prompt Engineering
- Learn how to craft effective prompts to guide AI models in generating desired outputs
- Understand the differences between zero-shot, one-shot, and few-shot prompting strategies
- Experiment with prompt formatting, context setting, and constraints to optimize results from language and image generation models like GPT and DALL·E
Bootcamp Summary
Generative AI
Generative AI has developed as a new technology with potential across the creative, educational, and business fields. During this bootcamp, we focused on building generative AI applications capable of text and image generation at a human-level. By the end of the session, we had a comprehensive understanding of fundamental ideas and techniques of generative AI, as well as the use of AI applications. The examples we examined included the potential for generating personalized storybooks for children, generating an AI chatbot for the education, visual design and asset generation for online platforms, and building tools to help with creative writing and proposing ideas.

Python & AI Libraries