In general, you will find that JAX (and in particular JAX + Keras for the super simple API) offers an exceptionally smooth and performant large-scale model training experience. Zero hassle and high utilization out of the box — there is no alternative that comes close to it.
OPEN SOURCE
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Keras JAX Data and Model Parallelism Configuration
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1. Configuring data parallelism for Keras models running on JAX (works with fit/evaluate/predict with 0 other changes to your code). All model state and incoming dataset are automatically distributed. 2. Configuring model parallelism + data parallelism while specifying the
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Meta Llama 3.2 Achieves Breakthrough Inference Speed Performance
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High speed alert! Experience fast #AI #inference on @AIatMeta
's Llama 3.2 1B & 3B with unrivaled performance all running at full-precision: 2470 tokens per sec on 1B 1566 tokens per sec on 3B Start developing -
gptme: Open-Source AI Agent Tool for Your Terminal
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Your terminal just got smarter! Introducing gptme: an open-source tool that let's you run AI Agent in your terminal with local tools Here's why it's a game-changer: Free and open-source Runs code in your local environment Reads, writes, and edits files Browses
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Linux Kernel Public Release Anniversary 1991
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#otd in 1991 the Linux kernel was publicly released by Helsinki grad student Linus Torvalds: https://
bit.ly/3N5sfLG -
Groq Webinar: xRx Framework for Real-Time AI Experiences
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Join our webinar next week!
We'll demo xRx, an innovative open-source framework from @8090solutions
, which empowers developers to create seamless, real-time AI experiences integrating voice, text & visual interactions, powered by Groq LPU technology. https://
hubs.la/Q02Rg8LN0 -
AI-Powered Local File Management Tool with Llama3.2 LLaVa
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AI-powered file management tool that ensures privacy by organizing local texts, images. Using Llama3.2 3B and Llava v1.6 it intuitively scans, restructures, and organizes files for quick, access and retrieval. https://
bit.ly/47XgSz1
#AI #MachineLearning #DeepLearning #LLMs -
MLX-VLM: Run Vision LLMs Locally on Mac with MLX
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MLX-VLM MLX-VLM is a package for running Vision LLMs locally on your Mac using MLX. pip install mlx-vlm Chat UI with Gradio python -m mlx_vlm.chat_ui –model qnguyen3/nanoLLaVA
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gradio-client-lite: Zero-dependency lightweight Gradio client
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gradio-client-lite A zero-dependency, platform-independent, and lightweight Gradio client. Works on serverless platforms, replica affinity mechanism included. Features
Zero dependencies
Platform-independent
Works on serverless platforms
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Adding Research Paper to Community Discussion Platform
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this is awesome! we should add the paper to http://
hf.co/papers to foster community discussions cc @IAMJBDEL @_akhaliq