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Author Topic: AI, NLP and CAI: Text Generation with Convolutional Neural Networks in Pascal  (Read 23832 times)

schuler

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Re: AI, NLP and CAI: Text Generation with Convolutional Neural Networks in Pascal
« Reply #30 on: September 09, 2024, 06:24:11 am »
:) Hello :)
All 3 chat bots now use planning and reflection (they critique their own work) when coding in pascal:

* https://chatgpt.com/g/g-6BrAwhTQ9-free-pascal-developer-neural-api
* https://poe.com/CAI-NEURAL-API-FREE.
* https://poe.com/CAI-NEURAL-API.

This is an output example:
Code: Pascal  [Select][+][-]
  1. Human: How the Byte Pair Encoding algorithm will look like in Free Pascal?
  2.  
  3. Poe:
  4. <planning>
  5. To provide an implementation of the Byte Pair Encoding (BPE) algorithm in Free Pascal, I'll follow these steps:
  6. 1. Define the necessary data structures
  7. 2. Implement the core BPE algorithm functions
  8. 3. Create a simple main program to demonstrate the usage
  9. 4. Add comments for clarity
  10. 5. Ensure the code follows Free Pascal conventions and best practices
  11. </planning>
  12. ...
  13. <candidate-solution>
  14. Here's an implementation of the Byte Pair Encoding algorithm in Free Pascal:
  15. ...
  16. </candidate-solution>
  17.  
  18. <reflexion>
  19. The provided implementation of the Byte Pair Encoding algorithm in Free Pascal covers the essential aspects of the algorithm and demonstrates its usage. It includes:
  20. Necessary data structures (TStringList and TPairFrequency)
  21. Core BPE algorithm functions (CountPairs, GetMostFrequentPair, MergePair, and BPE)
  22. A simple main program to demonstrate the usage
  23. Comments for clarity
  24. Adherence to Free Pascal conventions and best practices
  25. The code is well-structured and should be easy to understand for those familiar with Pascal-like languages. It uses generics (TFPGList and TFPGMap) for type-safe collections, which is a modern feature in Free Pascal.
  26.  
  27. However, to improve the implementation, we could consider the following enhancements:
  28.  
  29. Add error handling for file I/O to allow loading vocabulary from a file
  30. Implement tokenization of new text using the learned BPE merges
  31. Add an option to save the learned merges for later use
  32. Optimize the pair counting process for larger vocabularies
  33. Let's create an improved version incorporating these enhancements.
  34. </reflexion>
  35. ...
  36. <candidate-solution>
  37. Here's an improved implementation of the Byte Pair Encoding algorithm in Free Pascal with the planned enhancements:
  38. ...
  39.  

:) I wish everyone happy pascal coding. :)
« Last Edit: September 15, 2024, 08:19:08 am by schuler »

schuler

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Re: AI, NLP and CAI: Text Generation with Convolutional Neural Networks in Pascal
« Reply #31 on: September 18, 2024, 09:48:18 am »
:) Hello, :)
I've just gave a go to the google notebooklm to produce audio files around the subject of Pascal with Artificial Intelligence. I must say that I'm really impressed with the result:

* https://www.youtube.com/watch?v=2nnlE0k_1QQ
* https://www.youtube.com/watch?v=IZy0yQAbvWA

I'm finding that google's notebooklm is a strong promoter of pascal...

:) Have fun :)

 

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