Program
• Day 1: Machine learning and optimization + Poster presentations by participants • Day 2: Artificial neural networks and deep learning • Day 3: Data Mining and Gradual Patterns • Day 4: Explainability in learning systems • Day 5: Transfer Learning and Natural Language Processing Week 2: Generative AI • Day 6: Introduction to Generative AI and the foundation models of LLMs • Day 7: Prompt engineering and advanced techniques • Day 8: Autonomous agents and personalized assistants • Day 9: Generative AI and ethics + Projects • Day 10: Presentation of participants' work + closing |
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