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GenAI Skills

Effectively leveraging AI in business requires understanding of AI Models, model capabilities, limitations, and tailoring it to your specific needs. I try to explain these concepts in a simple manner using visuals, diagrams and videos.

1 AI & Deep Learning Learn intuitively what is Machine Learning, Deep Learning and the Transformer architecture. This is foundational AI skills.
Intro to Machine Learning(pdf chapter from my book)
Deep Learning(ppt)
Transformer Architecture(pdf)
NLP and Deep Learning(pdf)
2 Large Language Models Get a firm understanding of foundation models and Generative AI. What are LLMs? What is a neural network? How are LLMs trained? What is pre-training, post-training or RLHF?
LLM Models (pdf)
AI Mindset: The case for Right Sizing AI Modles (PPT)
Small Language Models
4 Model Selection Factors Selecting the right LLM model is critical to your success. Learn factors to consider when choosing a LLM model for your business
Model Selection (pdf)
5 AI Agents AI Agents that can run operate autonomously, reason, make decisions to complete a goal. What does that mean? How do Agents work?
AI Agents (pdf)
Building Successful AI Agents (PPT)
6 AI app evaluation (Evals) Gen AI apps bring risk along. How do you make sure your Gen AI app is working as per design? How do you test it. Learn about AI evalution, commonly referred as Evals.
GenAI Eval Fundamentals (ppt)
AI Evals (ppt)
7 Responsible AI Gen AI systems can cause harm such as promote misinformation, hallucinate, data leaks or promote bias. Learn how to mitigate these
Responsible AI (pdf)
4 ways to Manage Hallucination (PPT)