EVENT CONTENT
Generative Artificial Intelligence Models TrainingThe first part of this training series, organised in cooperation with Near East University and related research centres, focuses on the study of images. Dr Fatih Veysel Nurçin, who completed his PhD in Biomedical Engineering and was a visiting student at Harvard University, will give the training.
• Understanding the Language of the Model
The course emphasises the importance of understanding the language of the model in order to learn how to create images from text using generative AI models. This allows users to achieve their desired results more quickly and effectively.
• Image Angle and Shot Training
The training provides information on how to manipulate images using different angles and shooting patterns. This is an important skill for changing the content and perception of images.
• Practical Applications
Throughout the training, various examples and applications are used for a better understanding of the concepts. This allows participants to consolidate their theoretical knowledge by putting it into practice.
• Continuous Learning and Development
The overall theme of the training emphasises the importance of continuous learning and development. Participants are encouraged to open new horizons and draw their own paths by continuously improving their knowledge and skills.
Outcomes
1. Learning about Generative Artificial Intelligence Models: The event provides an overview of generative AI models and their applications to images. The audience can learn about how these models work and how they can be used to generate images from text.
2. Angle and Shot Tutorials: The event provides information about the angles and shooting techniques that should be considered when creating images. Listeners can learn how to create more impressive and meaningful visuals by using different angles and shooting patterns.
3. Artificial Intelligence Application Areas: The event shows how this technology can be used in various disciplines by providing examples of applications of artificial intelligence algorithms in the health field. Listeners can have an idea about the potential
applications of artificial intelligence in different fields.
4. Problem Solving and Analytical Thinking: The event emphasises the importance of problem solving and analytical thinking skills in order to effectively use generative AI models. By developing these skills, listeners can learn to use AI models more efficiently.
5. Learning and Development: The event motivates the listeners by emphasising the importance of continuous learning and self- improvement. Listeners can find motivation to specialise in their field and gain new skills.
Language: Turkish