@djangoproject · Post #495 · 11/11/2017, 01:57 PM
http://tech-artists.org/t/pyqt-model-view-video-tutorial-series-part-01/1401 [#PyQT] Model View Video Tutorial Series (Part 01)
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Source channel @githubtrending · Post #14845 · Jun 20
#jupyter_notebook#ai#artificial_intelligence#chatgpt#deep_learning#from_scratch#gpt#language_model#large_language_models#llm#machine_learning#python#pytorch#transformer You can learn how to build your own large language model (LLM) like GPT from scratch with clear, step-by-step guidance, including coding, training, and fine-tuning, all explained with examples and diagrams. This approach mirrors how big models like ChatGPT are made but is designed to run on a regular laptop without special hardware. You also get access to code for loading pretrained models and fine-tuning them for tasks like text classification or instruction following. This helps you deeply understand how LLMs work inside and lets you create your own functional AI assistant, gaining practical skills in AI development[1][2][3][4]. https://github.com/rasbt/LLMs-from-scratch
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@djangoproject · Post #495 · 11/11/2017, 01:57 PM
http://tech-artists.org/t/pyqt-model-view-video-tutorial-series-part-01/1401 [#PyQT] Model View Video Tutorial Series (Part 01)
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@djangoproject · Post #494 · 11/11/2017, 01:48 PM
https://anaconda.org/anaconda/qtpy #QtPy is a small abstraction layer that lets you write applications using a single api call to either #PyQt or #PySide.
@djangoproject · Post #382 · 07/12/2017, 09:20 PM
https://wiki.python.org/moin/PyQt #PyQt is one of the two most popular Python bindings for the #Qt cross-platform #GUI/#XML/#SQL#C++ framework (another binding is #PySide).
@githubtrending · Post #14740 · 05/23/2025, 12:30 PM
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@djangoproject · Post #513 · 11/30/2017, 10:00 PM
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