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Source channel @githubtrending · Post #14835 · Jun 17

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#jupyter_notebook#jax Flax is a library for creating neural networks with JAX. It offers a flexible way to build and analyze these networks. The new Flax NNX API makes it easier to work with neural networks by using regular Python objects, which helps in creating, debugging, and analyzing models more efficiently. This means users can express their models in a more intuitive way, making it simpler to develop and modify neural networks. Flax also provides many tools and examples to help users get started quickly. https://github.com/google/flax

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Machinelearning

@ai_machinelearning_big_data · Post #8255 · 08/12/2025, 02:32 PM

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🚀Jan-v1: локальная 4B-модель для веба — опенсорсная альтернатива Perplexity Pro 📌Что умеет - SimpleQA: 91% точности, чуть выше Perplexity Pro — и всё это полностью локально. - Сценарии: быстрый веб-поиск и глубокое исследование (Deep Research). Из чего сделана - Базируется на Qwen3-4B-Thinking (контекст до 256k), дообучена в Jan на рассуждение и работу с инструментами. Где запускать - Jan, llama.cpp или vLLM. Как включить поиск в Jan - Settings → Experimental Features → On - Settings → MCP Servers → включите поисковый MCP (например, Serper) Модели - Jan-v1-4B: https://huggingface.co/janhq/Jan-v1-4B - Jan-v1-4B-GGUF: https://huggingface.co/janhq/Jan-v1-4B-GGUF @ai_machinelearning_big_data #ai#ml#local#Qwen#Jan

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