Generative AI Full Course 2024 - From Basics to Advanced Applications

Generative AI Full Course 2024 - From Basics to Advanced Applications

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Other data import options in Google AI Studio using System Sample

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23 of 67

Other data import options in Google AI Studio using System Sample

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Classroom Contents

Generative AI Full Course 2024 - From Basics to Advanced Applications

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  1. 1 Introduction
  2. 2 Introduction to Generative AI
  3. 3 Advantages of Generative AI
  4. 4 The Future of Generative AI
  5. 5 Ethical Considerations in Generative AI
  6. 6 Introduction and Phases to LLMs
  7. 7 Introduction to OpenAPI GPT API
  8. 8 Claude 3.5 Sonnet
  9. 9 Claude Artifacts
  10. 10 Demo on Claude Artifacts
  11. 11 Use cases of Claude
  12. 12 Demo on Claude Sonnet
  13. 13 GPT 4o Mini and uses
  14. 14 Why GPT 4o Mini
  15. 15 Features of GPT 4o Mini
  16. 16 Difference between GPT 4o and GPT 4o Mini
  17. 17 Demo on Playground tab, Dashboard tab, Docs tab and API References tab
  18. 18 Prompting on Playground and Billing Settings
  19. 19 Version of Google Gemini
  20. 20 General Prompt Demo Google AI Studio
  21. 21 Structured Prompt in Google AI Studio
  22. 22 Model Tuning in Google AI Studio using System Sample
  23. 23 Other data import options in Google AI Studio using System Sample
  24. 24 Abstract of the Email Generator App
  25. 25 Software Requirements for App
  26. 26 Implementation of the App
  27. 27 Executing the App
  28. 28 Generative AI Popular Tools
  29. 29 ChatGPT
  30. 30 Github Copilot
  31. 31 Claude
  32. 32 Gemini
  33. 33 Basics of Prompt Engineering
  34. 34 Basics of ChatGPT
  35. 35 Demonstration of Prompt on ChatGPT
  36. 36 Python App using ChatGPT 4o
  37. 37 Using ChatGPT 4o for Statistical Analysis
  38. 38 Demonstration of Prompt using ChatGPT 4-o
  39. 39 Portfolio website code execution
  40. 40 Introduction to Github and Github Copilot
  41. 41 Hands-on session on Github Copilot
  42. 42 Introduction of Claude
  43. 43 Prompt Engineering and Install Claude
  44. 44 Hands-on Claude
  45. 45 Program for tic-toe game using Claude
  46. 46 Claude 2 API
  47. 47 Integration of Python and Gemini 1.5 pro
  48. 48 Chatbot using Gemini 1.5 pro
  49. 49 Generative AI Applications
  50. 50 Flask ChatGPT App
  51. 51 Flask Text-to-Image App
  52. 52 Demo - Flask Text-to-Image App
  53. 53 Introduction to Langchain
  54. 54 Why LangChain?
  55. 55 Development Environment Setup of LangChain
  56. 56 Demo on Library Installation
  57. 57 LangChain Core Concepts
  58. 58 LangChain Components
  59. 59 LangChain Case Study
  60. 60 Limitations of LLMs
  61. 61 Introduction to RAG
  62. 62 RAG Basics Concepts and Terminology
  63. 63 Key Components of RAG - Retrieval and Generation
  64. 64 Workflow and Applications of RAG
  65. 65 Hallucinations in RAG
  66. 66 Steps to implement RAG with LangChain
  67. 67 Hands-on RAG in detail

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