I've had the issue when trying to launch smolagents: I wanted a short, impactful name, and many names in something*agent*something were already taken. Mot of these packages had had 1 initial release, then went unmaintained for 10 years. But they still kept the name, because
@aymericroucher
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Launch of Computer Use in smolagents with Qwen-VL grounding
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We're launching Computer Use in smolagents! 🥳
— m_ric (@AymericRoucher) 6 mai 2025
-> As vision models become more capable, they become able to power complex agentic workflows. Especially Qwen-VL models, that support built-in grounding, i.e. ability to locate any element in an image by its coordinates, thus to… pic.twitter.com/mI8MuWZkISWe're launching Computer Use in smolagents! -> As vision models become more capable, they become able to power complex agentic workflows. Especially Qwen-VL models, that support built-in grounding, i.e. ability to locate any element in an image by its coordinates, thus to
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Hugging Face’s smolagents: Tiny, focused agentic framework tackles complexity.
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The agentic framework of @huggingface
, smolagents, is the tinyest ever. It has fewer features than other frameworks -> that's exactly its goal. The main issue among agentic frameworks is complexity : they tend to pile up abstractions, trying to solve everything rather than being -
Call to open-source Grok 2 on a perfect occasion
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Awesome news! Wouldn't that be a perfect occasion to open-source Grok 2!
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Meeting Andrew Ng, excited about new smolagents course
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And that's when I met the one and only @AndrewYNg, whose melodious voice first introduced me to the green pastures of machine learning, as I began my journey 5 years back: it means a lot! ✨
— m_ric (@AymericRoucher) 23 avril 2025
I'm thrilled about this new course! You'll learn to use smolagents and build agents that… https://t.co/R8C2I8LsBAAnd that's when I met the one and only @AndrewYNg
, whose melodious voice first introduced me to the green pastures of machine learning, as I began my journey 5 years back: it means a lot! I'm thrilled about this new course! You'll learn to use smolagents and build agents that -
Text embeddings rediscover BM25 core principles during training
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-> Researchers show that text embeddings methods re-discover BM25 from scratch during training! Far from abandoning standard search techniques like BM25, it appears that neural search methods naturally re-implement their core principles. Let's you have a search query like
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Clarifying smolagents name and multi-agent orchestration
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It seems smolagents was a bit under-researched. First of all it's "smolagents", without a space in the middle. We do have multi-agents (not with a dedicated abstraction, we managed to handle the orchestration under the base agent class): https://
huggingface.co/docs/smolagent
s/examples/multiagents
… We do have -
InternVL3 dethrones Qwen 2.5 as new king of open VLMs
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New king of open VLMs: InternVL3 takes Qwen 2.5's crown! -> InternVL have been a wildly successful series of model : and the latest iteration has just taken back their crown thanks to their superior, natively multimodal vision training pipeline. Most of the vision language
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Claude-3.7-Sonnet and o1 better at Python than JavaScript for code agents
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Really interesting: Claude-3.7-Sonnet and o1 are better at Python than Javascript.
In smolagents, we implemented agents that think in code, and of all programming languages we chose python for their thoughts, because we thought it was both
– one of the most accessible, thus -
Claude-3.7-Sonnet and o1 better at Python than JavaScript
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Really interesting: Claude-3.7-Sonnet and o1 are better at Python than Javascript.
In smolagents, we implemented agents that think in code, and of all programming languages we chose python for their thoughts, because we thought it was both
– one of the most accessible, thus