AI Development for Non-Developers: Building a Simple GPT App in Python

AI Development for Non-Developers: Building a Simple GPT App in Python

John Savill's Technical Training via YouTube Direct link

- Adding list of dictionaries and system prompt

17 of 34

17 of 34

- Adding list of dictionaries and system prompt

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Classroom Contents

AI Development for Non-Developers: Building a Simple GPT App in Python

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  1. 1 - Introduction
  2. 2 - Setup on our computer
  3. 3 - The Azure resources
  4. 4 - Creating a new hub
  5. 5 - Creating a new Azure OpenAI resource
  6. 6 - Adding connections to your hub
  7. 7 - Deploying a model
  8. 8 - Checking model availability
  9. 9 - View model key and endpoint
  10. 10 - Using the playground
  11. 11 - Three roles
  12. 12 - Creating our own GPT app
  13. 13 - How to authenticate to the AI service
  14. 14 - Role on the OpenAI resource
  15. 15 - Lack of memory problem
  16. 16 - Adding memory
  17. 17 - Adding list of dictionaries and system prompt
  18. 18 - Allow repeated user input
  19. 19 - Adding user input to the dictionary list
  20. 20 - Sending the list to the completion response
  21. 21 - Extracting just the message content in response
  22. 22 - Exit message
  23. 23 - Testing with message list
  24. 24 - Do we have full memory and context?
  25. 25 - Add assistant responses to list
  26. 26 - Tracking number of tokens
  27. 27 - Output the history at the end
  28. 28 - Total recall test
  29. 29 - Viewing model metrics
  30. 30 - Code review
  31. 31 - Summary of steps
  32. 32 - Next step challenge
  33. 33 - Use an orchestrator!
  34. 34 - Close

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