- Level - Intermediate - Choice - Specialisation
- Understanding the power, applications, and development of LLMs, focusing on AI-driven text processing and conversation.
- Prerequisites -Introduction to AI or any foundational AI course
- Assessments - Micro Assessment weekly, Full Assessment last week.
Week 1 - Introduction to LLMs
Learning OutcomeStudents will understand the fundamentals of LLMs and their key architectures.
1.1 The Evolution of Language Models.
1.2 Key Architectures: Transformer, BERT, GPT, and More.
1.3 Tokenization, Embeddings, and Context Windows.
Practical Component
Working with pre-trained LLMs to analyze language processing.
Week 2 - Training and Fine-Tuning LLMs
Learning OutcomeUnderstanding how LLMs are trained and optimized for specific tasks.
2.1 Training Data, Pretraining, and Transfer Learning.
2.2 Fine-Tuning for Domain-Specific Applications.
2.3 Challenges in Training Large-Scale Models.
Practical Component
Fine-tuning an existing LLM for a specialized application.
Week 3 -Applications of LLMs
Learning OutcomeExploring how LLMs are applied across industries.
3.1 LLMs in Content Generation and Chatbots.
3.2 AI-Powered Code Generation and Debugging.
3.3 Ethical and Bias Challenges in LLM Deployment.
Practical Component
Implementing an LLM-powered chatbot or content generator.
Week 4 - Enhancing LLM Capabilities
Learning OutcomeUnderstanding the limitations of LLMs and methods to improve their reliability.
4.1 Prompt Engineering and Efficient Querying.
4.2 Handling Hallucinations and Bias in Responses.
4.3 Combining LLMs with Other AI Systems for Robust Performance.
Practical Component
Designing effective prompts and testing LLM responses for different scenarios.
Week 5 - LLMs in Business and Research
Learning OutcomeUnderstanding how LLMs are integrated into real-world workflows.
5.1 Automating Customer Support and Business Processes.
5.2 AI-Assisted Research, Summarization, and Data Analysis.
5.3 Future Trends in Language Model Development.
Practical Component
Implementing LLMs into real business case scenarios.
Week 6 -Project and Assessment
Learning OutcomeStudents will develop a practical application using LLMs.
6.1 Selecting a Use Case and LLM Model.
6.2 Testing and Peer Reviewing Model Performance.
6.3 Final Presentations and Evaluation.
Practical Component
Students present their LLM-based solutions.