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Source channel @githubtrending · Post #15041 · Aug 9

#cplusplus#ai_chat#llm_inference GPT4All lets you run powerful AI language models directly on your own computer without needing internet, cloud services, or special GPUs. This means your data stays private and secure because nothing leaves your device. You can chat with the AI, ask questions, summarize documents, write code, or create content anytime, even offline. It works on Windows, macOS, and Linux with easy installation and supports many popular AI models. You can also customize it and use it with Python or other tools. This gives you full control, privacy, and flexibility for AI tasks without extra costs or dependencies. https://github.com/nomic-ai/gpt4all

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djangoproject

@djangoproject · Post #77 · 07/05/2016, 07:46 AM

https://docs.python.org/2/library/logging.html This module defines functions and classes which implement a flexible event logging system for applications and libraries. The key benefit of having the #logging_API provided by a standard library module is that all Python modules can participate in logging, so your application log can include your own messages integrated with messages from third-party modules. The module provides a lot of functionality and flexibility. If you are unfamiliar with #logging, the best way to get to grips with it is to see the tutorials (see the links on the right). The basic classes defined by the module, together with their functions, are listed below. #Loggers expose the interface that application code directly uses. Handlers send the log records (created by loggers) to the appropriate destination. Filters provide a finer grained facility for determining which log records to output. Formatters specify the layout of log records in the final output.