Advanced Techniques and Interpretability in LLMs
Advanced Techniques and Interpretability in LLMs
Instructor: Packt - Course Instructors
Access provided by National Open University of Nigeria
Intermediate level
Recommended experience
Flexible schedule
Learn at your own pace
What you'll learn
Understand and compare major transformer models like BERT, GPT, and ViT
Fine-tune and pretrain large language models for specific tasks
Implement retrieval augmented generation to improve model reliability
Skills you'll gain
- Artificial Intelligence and Machine Learning (AI/ML)
- Token Optimization
- LLM Application
- Natural Language Processing
- Model Evaluation
- Large Language Modeling
- Computer Vision
- Responsible AI
- Data Ethics
- Retrieval-Augmented Generation
- AI Security
- Embeddings
- Fine-tuning
- Generative Model Architectures
- Generative AI Agents
Tools you'll learn
Details to know
Taught in English
Recently updated!
July 2026
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