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  - code
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  ---
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  TLDR;
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- - The model is quite fun to play with as it seems pretty competent at a first glance.
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- - It shows a good understanding about coding and can correct itself if asked for it.
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- - It has a vast knowledge about Python and Python libraries (you can for example, ask the model to create a tutorial about some python library).
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- - It makes quite a few mistakes
 
 
 
 
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  - When dealing with coding problems it fails completely.
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  This is proof of concept to see how far LLM's on the smaller side can go when fine-tuned for code generation and understanding.
 
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  - code
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  ---
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  TLDR;
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+ - The model is quite fun to play with as it seems pretty competent, much better than general bigger models.
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+ - It shows a good understanding about coding:
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+ - It can correct itself or improve the code if asked for it.
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+ - It has a vast knowledge about Python and Python libraries:
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+ - You can for example, ask the model to create a tutorial about some python library.
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+ - Getting what you want from the model can be a hit or miss:
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+ - Sometimes you'll have to fight extensively with the way you write the prompt to get what you want.
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+ - Sometimes you won't be able to make the model do what you want.
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  - When dealing with coding problems it fails completely.
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  This is proof of concept to see how far LLM's on the smaller side can go when fine-tuned for code generation and understanding.