Large Language Models (LLMs)

Learning Outcomes

• Understanding foundation models and transformers
• Model selection and evaluation
• Fine-tuning and adaptation strategies
• Deployment and scaling considerations
• Performance optimization techniques

Explore comprehensive resources about Large Language Models and their applications.

Core Concepts

• What are LLMs?
• How LLMs are Built
• LLM Vocabulary

Development & Operations

• Pre-trained Models
• OpenAI Platform Guide
• LLM Settings & Parameters
• LLMOps

Advanced Topics

• Multi-Modal AI
• Reliability & Safety
• Common Pitfalls

External Resources

Documentation & Tutorials

• LLM explained with minimum Math and Jargon
• Deep dive into NLP & LLMs

Further Reading

• 7 Steps to Master LLMs
• Building LLM Powered Applications
• LLM Architectures
• Large Language Models Beginners Guide 2025