Gremllm is an unusual Python class in which all methods and properties are created dynamically using LLM. You describe, *what kind of object do you want *, and then Gremllm decides what should happen when the methods are called or the fields are addressed.
pip install gremllm
🔧 Example:
from gremllm import Gremllm
counter = Gremllm('counter')
counter.value = 5
counter.increment()
print(counter.value) # → 6?
print(counter.to_roman_numerals()) # → VI?
- dynamic behavior: everything is determined "on the fly" using LLM
- Support Openai, Claude, Gemini, and local models
- Wet Mode: You can build challenges of calls (methods return objects)
- Verbose Mode: Bodes which code was generated
- smart processing of errors and setting through inheritance
#پایتون #Python
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سباستین راشکا، محقق برجسته هوش مصنوعی با بیش از یک دهه تجربه در این لینک مفاهیم اصلی PyTorch را در فقط یک ساعت آموزش می دهد
این محتوا بر اساس کتاب او با عنوان
Build a Large Language Model (From Scratch)
است که به دلیل رویکرد عملی و کدمحور در توسعه مدلهای زبانی بزرگ مورد تحسین قرار گرفته
#پایتون #Python
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https://www.kaggle.com/learn/python
https://www.kaggle.com/learn/pandas
https://www.kaggle.com/learn/data-visualization
https://www.kaggle.com/learn/intro-to-sql
https://www.kaggle.com/learn/advanced-sql
https://www.kaggle.com/learn/intro-to-machine-learning
https://www.kaggle.com/learn/intermediate-machine-learning
#پایتون #Python #علم_داده #یادگیری_ماشین
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#پایتون #Python #یادگیری_ماشین
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صدها الگوریتم محبوب پیاده سازی شده در پایتون از ابتدا.
https://github.com/TheAlgorithms/Python/tree/master
#پایتون #Python
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#پایتون #Python
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