As part of this project, students will make a chatbot that can talk to people using a large language model (LLM) like GPT or LLaMA. The chatbot will be able to answer questions from customers, suggest products, and handle support requests while keeping track of the context. Students will create useful prompts, connect the model through APIs, and put the chatbot on a website or messaging platform. This will show how Generative AI can improve and automate customer service.

The goal of this project is to make an AI-driven workflow that can make both written and visual content for marketing campaigns. Participants will use tools like ChatGPT to write ad copy and blog posts, and image generation tools like Midjourney or DALL·E to make creative images. The goal will be to create a complete system that quickly and consistently makes marketing materials that are in line with the brand, showing the business value of Generative AI.

Students will gather and prepare a dataset that is specific to a certain field, like healthcare, law, education, or finance, and then use tools like Hugging Face Transformers to improve a large language model. The personalized model will learn how to do specific tasks, like writing documents for a certain field, making reports, or answering technical questions. This project will show how to customize Generative AI solutions for specific professional needs.