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Course Outline
Introduction
- What is generative AI?
- Generative AI versus other AI types.
- Overview of key techniques and models in generative AI.
- Applications and use cases of generative AI.
- Challenges and limitations of generative AI.
Creating Images with Generative AI
- Generating images from text descriptions.
- Utilizing GANs to produce realistic and diverse images.
- Using VAEs to create images via latent variables.
- Applying style transfer to impose artistic styles on images.
Creating Text with Generative AI
- Generating text from prompts.
- Leveraging transformer-based models to produce text with context and coherence.
- Employing text summarization for concise summaries of lengthy texts.
- Using text paraphrasing to express the same meaning in different ways.
Creating Audio with Generative AI
- Generating speech from text.
- Generating text from speech.
- Producing music from text or audio.
- Generating speech with specific voice characteristics.
Creating Other Content with Generative AI
- Generating code from natural language.
- Producing product sketches from text.
- Generating video from text or images.
- Creating 3D models from text or images.
Evaluating Generative AI
- Assessing content quality and diversity in generative AI.
- Utilizing metrics such as inception score, Fréchet inception distance, and BLEU score.
- Conducting human evaluation through crowdsourcing and surveys.
- Applying adversarial evaluation methods, including Turing tests and discriminators.
Understanding Ethical and Social Implications of Generative AI
- Ensuring fairness and accountability.
- Preventing misuse and abuse.
- Respecting the rights and privacy of content creators and consumers.
- Fostering human-AI creativity and collaboration.
Summary and Next Steps
Requirements
- Understanding of fundamental AI concepts and terminology.
- Experience in Python programming and data analysis.
- Familiarity with deep learning frameworks like TensorFlow or PyTorch.
Audience
- Data scientists.
- AI developers.
- AI enthusiasts.
14 Hours
Testimonials (2)
The interactive style, the exercises
Tamas Tutuntzisz
Course - Introduction to Prompt Engineering
A great repository of resources for future use, instructor's style (full of good sense of humor, great level of detail)
