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Source channel @githubtrending · Post #14737 · May 22
#other This book provides a systematic introduction to large language models (LLMs), covering topics like traditional language models, LLM architectures, prompt engineering, efficient parameter tuning, model editing, and retrieval-enhanced generation. It aims to be easy to read and rigorous, with monthly updates and a list of relevant papers. The book helps readers understand LLMs' principles and applications, making it beneficial for those interested in AI and NLP. It offers a structured learning path, which is useful for both beginners and advanced learners. https://github.com/ZJU-LLMs/Foundations-of-LLMs
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Search: #modulefinder
@djangoproject · Post #154 · 09/04/2016, 12:14 PM
https://docs.python.org/2/library/modulefinder.html This #module provides a #ModuleFinder class that can be used to determine the set of modules imported by a script. modulefinder.py can also be run as a script, giving the filename of a Python script as its argument, after which a report of the imported modules will be printed.
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@djangoproject · Post #145 · 09/02/2016, 03:28 AM
https://docs.python.org/3/library/modulefinder.html This module provides a #ModuleFinder class that can be used to determine the set of #modules#imported by a #script. modulefinder.py can also be run as a script, giving the #filename of a Python script as its argument, after which a report of the imported modules will be printed.