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Course Outline
Introduction
- Definition of 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
Generating Images with Generative AI
- Creating images from textual descriptions
- Utilizing GANs to produce realistic and diverse images
- Employing VAEs to generate images with latent variables
- Applying style transfer to infuse artistic styles into images
Generating Text with Generative AI
- Producing text from textual prompts
- Leveraging transformer-based models for contextually coherent text
- Using text summarization to condense lengthy texts
- Applying text paraphrasing to express meaning in varied ways
Generating Audio with Generative AI
- Synthesizing speech from text
- Transcribing speech to text
- Composing music from text or audio inputs
- Generating speech with specific voice characteristics
Generating Other Content Types with Generative AI
- Producing code from natural language
- Creating product sketches from text descriptions
- Generating videos from text or images
- Constructing 3D models from text or images
Evaluating Generative AI
- Assessing the quality and diversity of generative AI content
- Utilizing metrics such as Inception Score, Fréchet Inception Distance, and BLEU score
- Conducting human evaluations via crowdsourcing and surveys
- Implementing adversarial evaluation methods, including Turing tests and discriminators
Understanding the 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
- Encouraging creativity and collaboration between humans and AI
Summary and Next Steps
Requirements
- Foundational knowledge of basic AI concepts and terminology
- Proficiency 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)
