Description
The answer to the question “Can a machine create unique content indistinguishable from human-made works?” lies in generative artificial intelligence. Generative AI stands out as an Artificial Intelligence technology that allows for the quick, easy, and efficient design of content (such as text, images, etc.). Through this training, participants will gain knowledge about the role of generative AI in the field of artificial intelligence, its areas of application, and the tools that can be used to create content (such as ChatGPT, Gemini, Claude, Bing, etc.).
They will also learn about prompt engineering, which involves crafting inputs, instructions, and commands to elicit the best responses and behaviors from AI models. Participants will develop awareness of the key tips to consider when creating effective prompts, and they will gain practical experience with prompt examples in areas such as text summarization, translation, image generation, code generation, reasoning, and data analysis. Additionally, they will learn how to integrate AI models like ChatGPT with APIs in the Google Colab environment.
Audience
People who are interested in artificial intelligence technologies (marketing, content producers, creative sector employees)
Outline
Types of Generative AI Models
- Generative Adversarial Networks (GANs)
- Diffusion Models
- Variational Autoencoders (VAEs)
Current Application Examples Based on Generative AI
- Chatbots (ChatGPT, Gemini, etc.)
- Text-to-Image Applications (DALL-E, Bing)
- AI-Powered Digital Assistant (Microsoft Copilot)
Prompt Engineering
- What is prompt engineering? Why has it become popular?
- What are the components of a prompt?
- What to consider when creating an effective prompt?
- Prompt examples for popular tasks:
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- Text summarization and classification
- Question answering
- Image generation
- Translation
- Code generation
- Data analysis
- Defense Strategies Against Risks and Misuse