@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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#java#anthropic#chatgpt#chroma#embeddings#gemini#gpt#huggingface#java#langchain#llama#milvus#ollama#onnx#openai#openai_api#pgvector#pinecone#vector_database#weaviate LangChain4j helps you add powerful AI to your Java applications by making it easy to use Large Language Models (LLMs). It provides a simple way to switch between different LLMs and embedding stores without needing to learn each one's specific API. This means you can easily experiment with different models and tools, making your development process faster and more flexible. LangChain4j also offers many examples and tools to help you build complex AI applications quickly, such as chatbots and retrieval systems. This simplifies the integration of AI into your projects, allowing you to focus on creating better applications. https://github.com/langchain4j/langchain4j
Search: #pyqt
@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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