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Course Outline
Introduction to AI
- Overview of AI and its impact across industries
- Understanding the basics of machine learning and deep learning
- Discussion on the evolution of AI technologies and their current capabilities
Introduction to Generative AI and Large Language Models (LLM)
- Understanding generative AI and its applications.
- Exploring the architecture and capabilities of ChatGPT
- Understanding privacy issues
- Prompt Engineering
Foundations of Retrieval Augmented Generation (RAG)
- The concept of RAG and how it enhances generative models
- Integrating retrieval into generative models for better context understanding
- Workshop: Implementing a basic RAG model for information retrieval
GPT + RAG for Insights from Unstructured Data
- Techniques for extracting insights from unstructured data using GPT and RAG
- Case study: Analysis of textual data to gather business intelligence
GPT for Insights from Structured Data
- Applying GPT models to structured data analysis
- Techniques for transforming structured data into a format suitable for GPT
AI Tools and Software
- ChatGPT
- Claud
- Copilot
- LlamaIndex
- Langchain
7 Hours
