@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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#typescript#12_factor#12_factor_agents#agents#ai#context_window#framework#llms#memory#orchestration#prompt_engineering#rag The 12-Factor Agents are a set of proven principles to build reliable, scalable, and maintainable AI applications powered by large language models (LLMs). They help you combine the creativity of AI with the stability of traditional software by managing prompts, context, tool calls, error handling, and human collaboration effectively. Instead of relying solely on complex frameworks, you can apply these modular concepts to improve your existing products quickly and reach high-quality AI performance for real users. This approach makes AI software easier to develop, debug, and scale, ensuring it works well in production environments[1][3][5]. https://github.com/humanlayer/12-factor-agents
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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).
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@djangoproject · Post #513 · 11/30/2017, 10:00 PM
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