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Course Outline
Introduction
- What is generative AI?
- Generative AI compared to 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
- Using GANs to produce realistic and diverse images
- Utilizing VAEs for image creation with latent variables
- Applying style transfer to imbue images with artistic styles
Creating Text with Generative AI
- Generating text from text prompts
- Leveraging transformer-based models for contextual and coherent text
- Using text summarization to condense lengthy texts
- Employing text paraphrasing to express the same meaning in different ways
Creating Audio with Generative AI
- Generating speech from text
- Transcribing speech to text
- Generating music from text or audio input
- Synthesizing speech with specific voice characteristics
Creating Other Content with Generative AI
- Generating code from natural language
- Producing product sketches from text descriptions
- 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 via crowdsourcing and surveys
- Applying adversarial evaluation methods like 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
- Promoting collaboration between human creativity and AI
Summary and Next Steps
Requirements
- A foundational understanding of AI concepts and terminology.
- Experience in Python programming and data analysis.
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
Target 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)
