- Understanding AI: A Beginner’s Guide to Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI
- Understanding AI vs GenAI: Exploring the Future of Artificial Intelligence and Content Creation
- Understanding Tokenization in Large Language Models (LLMs)
- Understanding Context Windows and Token Limits in Large Language Models
- Pros and Cons of Larger Context Windows in Large Language Models (LLMs)
- Understanding Token-Based Pricing in Language Models
- How LLM generate next token from given input tokens?
- How Randomness in Language Models Powers Creativity and Engaging Responses?
- How Sampling techniques help to control the randomness in LLMs?
- Foundation Models in GenAI
- Exploring the Diverse Categories of Foundation Models: From Text to Multimodal AI
- Key Characteristics of Foundation Models
- Understanding Potential Harms of Generative AI
- Introducing Prompts, Responses, and the Art of Prompt Engineering
- Setting up Simple Application to experiment with prompts
- Why LLMs Aren’t Fully Deterministic?
- How to write better prompts?
- Creating Advanced Prompts
- Limitations of Simple Prompting in LLMs: Why We Need More Sophisticated Approaches
- Exploring Zero-Shot Prompting in Large Language Models: Examples, Pros, and Cons
- Few-Shot Prompting: A Beginner's Guide with Examples, Pros, and Cons
- Chain-of-Thought Prompting Technique in LLMs
- Generated Knowledge prompting in LLMs
- From Good to Great: Enhancing LLM Responses with Self-Refinement
- Maieutic Prompting: Ensuring Accurate and Consistent AI Responses
- Understanding Stopping Tokens in Large Language Models: A Beginner's Guide with Examples
- Understanding Embedding Length in Large Language Models
- What Are Parameters in LLMs? A Beginner's Guide with Simple Examples
- What Are Hyperparameters and How Are They Different from Model Parameters?
Thursday, 24 April 2025
GenAI for Beginners
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