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Contact usHugging Face is the creator of a community platform focused on machine learning, designed to foster collaboration on models, datasets, and applications. The platform of the company promotes the creation, discovery, and collaboration on machine learning projects. Hugging Face also offers premium computing and enterprise solutions to expedite processes using open-source development. The company is committed to developing fundamental machine learning tooling, enabling users to enhance and support the field of machine learning through collaboration, tools, and services.
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Hugging Face's SmolLM transforms AI with compact, powerful language models that outperform tech giants, bringing advanced capabilities to personal devices without compromising privacy or performance.
“Especially noteworthy at a time when most AI startups wouldn’t survive a year or two without VC money. Great job team!”
Hugging Face revamps its Open LLM Leaderboard as AI model performance plateaus, introducing more challenging benchmarks and sparking a new era in AI evaluation alongside complementary efforts like the LMSYS Chatbot Arena.
Carl Franzen / VentureBeat: Hugging Face launches LeRobot, an open-source robotics code library, after hiring former Tesla scientist Remi Cadene to lead its open-source robotics project
NVIDIA invested in 35 companies in 2023 and its AI investments are rising. Here are the interesting AI investments made by the chip maker.
Hugging Face launches a robotics project with an ex-Tesla
Remi Cadene's move signals an ambitious expansion for Hugging Face, which until now, has primarily focused on software, not hardware.
Kyle Wiggers / TechCrunch: ServiceNow, Hugging Face, and Nvidia release free code-generating AI models StarCoder2-3B/7B/15B, the first two of which can run on most modern consumer GPUs
The dataset consists of over 30 million samples and f 25 billion tokens, generated by Mixtral.
Carl Franzen / VentureBeat: Hugging Face launches HuggingChat Assistants, allowing users to create customized AI chatbots with specific capabilities using LLMs like Mixtral or Llama2