With media increasingly powered by Artificial Intelligence, mastering the underlying technologies is essential for shaping innovative, responsive, and efficient media solutions.  This tutorial provides a comprehensive introduction to AI and Large Language Models (LLMs), offering deep insights and practical know-how for media professionals.

We will explore foundational concepts of AIs, examine state-of-the-art LLMs, and practice model training and fine-tuning techniques. Through interactive hands-on sessions, we will gain experiences with real-world applications — such as LLM-based chatbots with intelligent document retrieval systems (RAG), data analysis with vector embedding, AI-based assistant for search platform, vision-language models for video-chatbots, and interview bots for knowledge capture. We’ll also cover how to secure authenticity and provenance in generative AI with C2PA.

Topics:

• AI & LLM Fundamentals: Conception and overview of AI and Large Language Models.
• Model Training & Manipulation: Techniques for training, fine-tuning, and customizing output of LLMs for media applications.
• Vision-Language Models: Overview and practical use-cases combining visual and textual data.
• Hands-on Applications:
  • Developing LLM-based chatbots and intelligent document-based conversational agents (RAG systems).
  • Advanced data annotation and semantic analysis with vector embeddings.
  • Implementation techniques for AI-based assistant of search platform.
  • Implementing video-based chatbots using vision-language models.
  • Creating interview bots for knowledge extraction and externalization.
• Securing Authenticity in GenAI: Ensuring trust, provenance, and authenticity in AI-generated media using C2PA standards.

In education, artificial intelligence is enabling a profound transformation. This tutorial offers you a comprehensive insight into the world of AI-powered education and shows how these technologies can be used to create personalized learning experiences. AI’s ability to analyze and adapt learning processes offers new ways to meet individual educational needs. Find out how you can use AI to make education more efficient and accessible. Immerse yourself in the future of educational technology and discover how AI is fundamentally changing the way we learn.

Our tutorial is structured as follows:

1. • AI in education: Discover how AI is redefining learning methods and enabling innovative educational solutions.
   • Personalized Recommendations: Learn how AI-based systems provide tailored course recommendations.
   • Learning Analytics: Incease learning success and optimize education through data-driven insights.
   • LLMs: Use large language models to make learning more efficient and effective.
   • Integration in LMS: Find out how AI can be effectively integrated into learning management systems.

We look forward to discussing and exploring the possibilities of AI in education with you.