We did a blog post demoing an example of it, but it's the first release that makes it part of the core code (contributed by @merve
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@aymericroucher
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Integration of new AI feature into core codebase
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How to install and set up smolagents for AI agents
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pip install smolagents
And add [dev] to get the whole stuff! -
smolagents Framework Adds CLI Execution and Agent Memory
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We just gave CLI execution to smolagents!
— m_ric (@AymericRoucher) 31 janvier 2025
✨ smolagent "Your task" directly launches a CodeAgent
▶️This also works with web agents (replace 'smolagent' with 'webagent') thanks to @mervenoyann!
💾 Another treat from release 1.7.0:
Now agents have a memory mechanism, enabling many… pic.twitter.com/IgRlZpLvwoWe just gave CLI execution to smolagents! smolagent "Your task" directly launches a CodeAgent
This also works with web agents (replace 'smolagent' with 'webagent') thanks to @mervenoyann
! Another treat from release 1.7.0:
Now agents have a memory mechanism, enabling many -
Evaluating DeepSeek R1 on AI Benchmarks
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I just ran DeepSeek R1 on smolagents benchmark.
It's an absolute beast Looking forward to run this beast on the full GAIA benchmark! (smolagents benchmark only tests a sample, with a basic CodeAgent setup) -
MiniMax MoE LLM Reaches SOTA with 4M Token Context Length
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Going back to general paper reads:
> MiniMax's new MoE LLM reaches SOTA performance with 4M tokens context length This work from Chinese startup @minimax_ai introduces a novel architecture that achieves state-of-the-art performance while handling context windows up to 4 -
Smolagents v1.3.0 Adds Logging for AI Agent Runs
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We've just released smolagents v1.3.0 🚀
— m_ric (@AymericRoucher) 15 janvier 2025
And it comes with a major feature: you can now log agent runs using OpenTelemetry to inspect them afterwards! 📊
This interactive format comes very handy for inspecting big multi-step runs, instead of scrolling through endless console… pic.twitter.com/0MfCxhxAL9We've just released smolagents v1.3.0 And it comes with a major feature: you can now log agent runs using OpenTelemetry to inspect them afterwards! This interactive format comes very handy for inspecting big multi-step runs, instead of scrolling through endless console
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Using agentic LLM setups to improve knowledge reliability
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But using LLMs for knowledge is a thing most people already do with ChatGPT (although it's misled that they do this), so using an agentic setup to increase reliability for knowledge makes more sense IMO!
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Agentic AI Setups Boost LLM Benchmark Performance by 40+ Points
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Cliché: "Agents are just hype"
Reality: Agentic setups can easily bring >40 percentage point increase compared to vanilla LLMs on some benchmarks This crazy score increase makes sense: if I had to answer a SimpleQA question like "Which Dutch player scored an open-play goal -
Exploring GUI Agent Trajectory Generation from Exploration
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-> OS-Genesis: why not to generate the GUI agent trajectories from exploration rather than from high-level tasks?
(spoilers: it works reaally well) The main bottleneck in building GUI agents it to find training data.
GUI Agent trajectories are not easy to get by. Crowdsourcing -
Smolagents 1.2.0 Released with HuggingChat Integration
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New release of smolagents: 1.2.0! 🥳
— m_ric (@AymericRoucher) 10 janvier 2025
Amongst other cool things like halving all loading times, after calling Tool.push_to_hub on a tool to upload it as a Space, you can now use it in HuggingChat ✨ pic.twitter.com/YeIcABjhS2New release of smolagents: 1.2.0! Amongst other cool things like halving all loading times, after calling Tool.push_to_hub on a tool to upload it as a Space, you can now use it in HuggingChat