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| Academic Year |
2024/2025 |
| Name |
Dott. - MI (1380) Ingegneria dell'Informazione / Information Technology |
| Programme Year |
1 |
| ID Code |
062786 |
| Course Title |
LARGE LANGUAGE MODELS: APPLICATIONS, OPPORTUNITIES AND RISKS. |
| Course Type |
MONO-DISCIPLINARY COURSE |
| Credits (CFU / ECTS) |
5.0 |
| Course Description |
"Reference areas: Computer Science and Engineering
SSD: ING-INF/05, SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI.
1. Foundations (4 hours):
- Introduction to LLMs and their significance in natural language processing (NLP) and artificial intelligence (AI)
- Overview of transformer architectures and attention mechanisms
- Pre-training objectives and strategies for LLMs
- Fine-tuning and adaptation techniques for specific NLP tasks
2. Practical Implementation (4 hours):
- Tools and libraries for working with LLMs (e.g., Hugging Face Transformers, TensorFlow, PyTorch)
- Fine-tuning LLMs for various NLP tasks such as text classification, sentiment analysis, and language generation
3. Applications (8 hours):
- NLP tasks enabled by LLMs: text generation, summarization, question answering, etc.
- Case studies showcasing real-world applications of LLMs in diverse fields such as healthcare, finance, education, and entertainment
4. Ethical and Societal Implications (3 hours):
- Ethical considerations in LLM development and deployment
- Biases, fairness issues, and ethical dilemmas associated with LLMs
- Privacy concerns and implications for data security in LLM applications
5. Seminars (5-10 hours):
- Web and social media analysis
- Economic and financial modelling
- Healthcare and medical informatics
- Environmental Science and Sustainability
(Use cases and seminars will cover aspects mainly focusing on SDGs.)" |
| Scientific-Disciplinary Sector (SSD)
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SSD Code
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SSD Description
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CFU
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ING-INF/05
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INFORMATION PROCESSING SYSTEMS
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5.0
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Alphabetical group
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Name
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Teaching Assignment Details
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From (included)
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To (excluded)
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A
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ZZZZ
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Carman Mark James, Brambilla Marco, Pierri Francesco
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