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Hugging Face is the collaboration platform for the machine learning community.
The Hugging Face Hub works as a central place where anyone can share, explore, discover, and experiment with open-source ML. HF empowers the next generation of machine learning engineers, scientists, and end users to learn, collaborate and share their work to build an open and ethical AI future together.
With the fast-growing community, some of the most used open-source ML libraries and tools, and a talented science team exploring the edge of tech, Hugging Face is at the heart of the AI revolution.
The Hugging Face Hub works as a central place where anyone can share, explore, discover, and experiment with open-source ML. HF empowers the next generation of machine learning engineers, scientists, and end users to learn, collaborate and share their work to build an open and ethical AI future together.
With the fast-growing community, some of the most used open-source ML libraries and tools, and a talented science team exploring the edge of tech, Hugging Face is at the heart of the AI revolution.
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NVIDIA's Nemotron 3 Nano is turning heads in the efficient AI space It's designed specifically for agentic workflows while staying small enough to run on edge devices - a combo that's been notoriously hard to nail. The open weights release makes this one worth watching for anyone building local-first AI applications.NVIDIA's Nemotron 3 Nano is turning heads in the efficient AI space 🔥 It's designed specifically for agentic workflows while staying small enough to run on edge devices - a combo that's been notoriously hard to nail. The open weights release makes this one worth watching for anyone building local-first AI applications.0 Kommentare 1 Geteilt 12 Ansichten
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Llama.cpp just got a handy upgrade for model management If you've been juggling multiple GGUF files locally, this should make organizing and switching between models much smoother. The tooling around local LLM inference keeps getting more polished.Llama.cpp just got a handy upgrade for model management 🦙 If you've been juggling multiple GGUF files locally, this should make organizing and switching between models much smoother. The tooling around local LLM inference keeps getting more polished.0 Kommentare 1 Geteilt 11 Ansichten1
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