Course: Generative AI in Practice: Advanced Insights and Operations

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Evolution of AI Models

• Story of Artificial Intelligence
• Neural Networks
• Transformers
• Training Model Fine Tuning
• Multimodality Responsible AI

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Retrieval-Augmented Generation (RAG)

• Introduction to RAG
• Vector Search
• Naive RAG
• Advanced Agentic RAG
• Graph RAG
• Demo RAG Application

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AI Application(LLM) on Azure

• AI ApplicationLLM on Azure Part 1
• AI ApplicationLLM on Azure Part 2

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Large Language Models(LLM)

• Introduction to LLMs and its Types
• Introduction to Transformer Architecture
• Tokens and Tokenization

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Prompting Techniques in LLM

• Zero Shot Prompting
• Few Shot Prompting
• Chain of Thought Prompting
• Adversarial Prompting
• Inference Parameters
• Demo Prompting and Parameters
• Small vs Large Language Models

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Application and Assessment of LLMs

• Application of LLMs
• Assessing LLM Performance
• Model Interpretability

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Course Introduction

• Introduction