AI & ML interests

Making AI decisions understandable and transparent to users

jeffboudierย 
posted an update 22 days ago
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AMD summer hackathons are here!
A chance to get hands-on with MI300X GPUs and accelerate models.
๐Ÿ‡ซ๐Ÿ‡ท Paris - Station F - July 5-6
๐Ÿ‡ฎ๐Ÿ‡ณ Mumbai - July 12-13
๐Ÿ‡ฎ๐Ÿ‡ณ Bengaluru - July 19-20

Hugging Face and GPU Mode will be on site and on July 6 in Paris @ror will share lessons learned while building new kernels to accelerate Llama 3.1 405B on ROCm

Register to Paris event: https://lu.ma/fmvdjmur?tk=KeAbiP
All dates: https://lu.ma/calendar/cal-3sxhD5FdxWsMDIz
jeffboudierย 
posted an update about 1 month ago
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Today we launched Training Cluster as a Service, to make the new DGX Cloud Lepton supercloud easily accessible to AI researchers.

Hugging Face will collaborate with NVIDIA to provision and set up GPU training clusters to make them available for the duration of training runs.

Hugging Face organizations can sign up here: https://huggingface.co/training-cluster
jeffboudierย 
posted an update about 2 months ago
jeffboudierย 
posted an update about 2 months ago
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Wrapping up a week of shipping and announcements with Dell Enterprise Hub now featuring AI Applications, on-device models for AI PCs, a new CLI and Python SDK... all you need for building AI on premises!

Blog post has all the details: https://huggingface.co/blog/dell-ai-applications
jeffboudierย 
posted an update 2 months ago
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Transcribing 1 hour of audio for less than $0.01 ๐Ÿคฏ

@mfuntowicz cooked with 8x faster Whisper speech recognition - whisper-large-v3-turbo transcribes at 100x real time on a $0.80/hr L4 GPU!

How they did it: https://huggingface.co/blog/fast-whisper-endpoints

1-click deploy with HF Inference Endpoints: https://endpoints.huggingface.co/new?repository=openai%2Fwhisper-large-v3-turbo&vendor=aws&region=us-east&accelerator=gpu&instance_id=aws-us-east-1-nvidia-l4-x1&task=automatic-speech-recognition&no_suggested_compute=true
jeffboudierย 
posted an update 2 months ago
jeffboudierย 
posted an update 3 months ago
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Llama4 is out and Scout is already on the Dell Enterprise Hub to deploy on Dell systems ๐Ÿ‘‰ dell.huggingface.co
jeffboudierย 
posted an update 4 months ago
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Enterprise orgs now enable serverless Inference Providers for all members
- includes $2 free usage per org member (e.g. an Enterprise org with 1,000 members share $2,000 free credit each month)
- admins can set a monthly spend limit for the entire org
- works today with Together, fal, Novita, Cerebras and HF Inference.

Here's the doc to bill Inference Providers usage to your org: https://huggingface.co/docs/inference-providers/pricing#organization-billing
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florentgbelidjiย 
posted an update 6 months ago
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๐—ฃ๐—น๐—ฎ๐—ป๐—ป๐—ถ๐—ป๐—ด ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ก๐—ฒ๐˜…๐˜ ๐—ฆ๐—ธ๐—ถ ๐—”๐—ฑ๐˜ƒ๐—ฒ๐—ป๐˜๐˜‚๐—ฟ๐—ฒ ๐—๐˜‚๐˜€๐˜ ๐—š๐—ผ๐˜ ๐—ฆ๐—บ๐—ฎ๐—ฟ๐˜๐—ฒ๐—ฟ: ๐—œ๐—ป๐˜๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐—ถ๐—ป๐—ด ๐—”๐—น๐—ฝ๐—ถ๐—ป๐—ฒ ๐—”๐—ด๐—ฒ๐—ป๐˜!๐Ÿ”๏ธโ›ท๏ธ

With the big hype around AI agents these days, I couldnโ€™t stop thinking about how AI agents could truly enhance real-world activities.
What sort of applications could we build with those AI agents: agentic RAG? self-correcting text-to-sql? Nah, boringโ€ฆ

Passionate about outdoors, Iโ€™ve always dreamed of a tool that could simplify planning mountain trips while accounting for all potential risks. Thatโ€™s why I built ๐—”๐—น๐—ฝ๐—ถ๐—ป๐—ฒ ๐—”๐—ด๐—ฒ๐—ป๐˜, a smart assistant designed to help you plan safe and enjoyable itineraries in the French Alps and Pyrenees.

Built using Hugging Face's ๐˜€๐—บ๐—ผ๐—น๐—ฎ๐—ด๐—ฒ๐—ป๐˜๐˜€ library, Alpine Agent combines the power of AI with trusted resources like ๐˜š๐˜ฌ๐˜ช๐˜ต๐˜ฐ๐˜ถ๐˜ณ.๐˜ง๐˜ณ (https://skitour.fr/) and METEO FRANCE. Whether itโ€™s suggesting a route with moderate difficulty or analyzing avalanche risks and weather conditions, this agent dynamically integrates data to deliver personalized recommendations.

In my latest blog post, I share how I developed this projectโ€”from defining tools and integrating APIs to selecting the best LLMs like ๐˜˜๐˜ธ๐˜ฆ๐˜ฏ2.5-๐˜Š๐˜ฐ๐˜ฅ๐˜ฆ๐˜ณ-32๐˜‰-๐˜๐˜ฏ๐˜ด๐˜ต๐˜ณ๐˜ถ๐˜ค๐˜ต, ๐˜“๐˜ญ๐˜ข๐˜ฎ๐˜ข-3.3-70๐˜‰-๐˜๐˜ฏ๐˜ด๐˜ต๐˜ณ๐˜ถ๐˜ค๐˜ต, or ๐˜Ž๐˜—๐˜›-4.

โ›ท๏ธ Curious how AI can enhance adventure planning?โ€จTry the app and share your thoughts: florentgbelidji/alpine-agent

๐Ÿ‘‰ Want to build your own agents? Whether for cooking, sports training, or other passions, the possibilities are endless. Check out the blog post to learn more: https://huggingface.co/blog/florentgbelidji/alpine-agent

Many thanks to @m-ric for helping on building this tool with smolagents!
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andrewrreedย 
posted an update 6 months ago
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๐Ÿš€ Supercharge your LLM apps with Langfuse on Hugging Face Spaces!

Langfuse brings end-to-end observability and tooling to accelerate your dev workflow from experiments through production

Now available as a Docker Space directly on the HF Hub! ๐Ÿค—

๐Ÿ” Trace everything: monitor LLM calls, retrieval, and agent actions with popular frameworks
1โƒฃ One-click deployment: on Spaces with persistent storage and integrated OAuth
๐Ÿ›  Simple Prompt Management: Version, edit, and update without redeployment
โœ… Intuitive Evals: Collect user feedback, run model/prompt evaluations, and improve quality
๐Ÿ“Š Dataset Creation: Build datasets directly from production data to enhance future performance

Kudos to the Langfuse team for this collab and the awesome, open-first product theyโ€™re building! ๐Ÿ‘ @marcklingen @Clemo @MJannik

๐Ÿ”— Space: langfuse/langfuse-template-space
๐Ÿ”— Docs: https://huggingface.co/docs/hub/spaces-sdks-docker-langfuse
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jeffboudierย 
posted an update 6 months ago
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NVIDIA just announced the Cosmos World Foundation Models, available on the Hub: nvidia/cosmos-6751e884dc10e013a0a0d8e6

Cosmos is a family of pre-trained models purpose-built for generating physics-aware videos and world states to advance physical AI development.
The release includes Tokenizers nvidia/cosmos-tokenizer-672b93023add81b66a8ff8e6

Learn more in this great community article by @mingyuliutw and @PranjaliJoshi https://huggingface.co/blog/mingyuliutw/nvidia-cosmos
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andrewrreedย 
posted an update 8 months ago
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Trace LLM calls with Arize AI's Phoenix observability dashboards on Hugging Face Spaces! ๐Ÿš€

โœจ I just added a new recipe to the Open-Source AI Cookbook that shows you how to:
1๏ธโƒฃ Deploy Phoenix on HF Spaces with persistent storage in a few clicks
2๏ธโƒฃ Configure LLM tracing with the ๐—ฆ๐—ฒ๐—ฟ๐˜ƒ๐—ฒ๐—ฟ๐—น๐—ฒ๐˜€๐˜€ ๐—œ๐—ป๐—ณ๐—ฒ๐—ฟ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—”๐—ฃ๐—œ
3๏ธโƒฃ Observe multi-agent application runs with the CrewAI integration

๐—ข๐—ฏ๐˜€๐—ฒ๐—ฟ๐˜ƒ๐—ฎ๐—ฏ๐—ถ๐—น๐—ถ๐˜๐˜† ๐—ถ๐˜€ ๐—ฐ๐—ฟ๐˜‚๐—ฐ๐—ถ๐—ฎ๐—น for building robust LLM apps.

Phoenix makes it easy to visualize trace data, evaluate performance, and track down issues. Give it a try!

๐Ÿ”— Cookbook recipe: https://huggingface.co/learn/cookbook/en/phoenix_observability_on_hf_spaces
๐Ÿ”— Phoenix docs: https://docs.arize.com/phoenix
jeffboudierย 
posted an update 8 months ago
jeffboudierย 
posted an update 9 months ago
jeffboudierย 
posted an update 10 months ago
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Inference Endpoints got a bunch of cool updates yesterday, this is my top 3
jeffboudierย 
posted an update 10 months ago
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Pro Tip - if you're a Firefox user, you can set up Hugging Chat as integrated AI Assistant, with contextual links to summarize or simplify any text - handy!

In this short video I show how to set it up
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