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plaguss  authored a paper 22 days ago
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
andito  authored a paper 22 days ago
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
eliebak  authored a paper 22 days ago
INTELLECT-1 Technical Report
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burtenshaw 
posted an update 1 day ago
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2137
I made a real time voice agent with FastRTC, smolagents, and hugging face inference providers. Check it out in this space:

🔗 burtenshaw/coworking_agent
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burtenshaw 
posted an update 2 days ago
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5378
Now the Hugging Face agent course is getting real! With frameworks like smolagents, LlamaIndex, and LangChain.

🔗 Follow the org for updates https://huggingface.co./agents-course

This week we are releasing the first framework unit in the course and it’s on smolagents. This is what the unit covers:

- why should you use smolagents vs another library?
- how to build agents that use code
- build multiagents systems
- use vision language models for browser use

The team has been working flat out on this for a few weeks. Led by @sergiopaniego and supported by smolagents author @m-ric .
alvarobartt 
posted an update 3 days ago
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2600
🔥 Agents can do anything! @microsoft Research just announced the release of Magma 8B!

Magma is a new Visual Language Model (VLM) with 8B parameters for multi-modal agents designed to handle complex interactions across virtual and real environments; and it's MIT licensed!

Magma comes with exciting new features such as:
- Introduces the Set-of-Mark and Trace-of-Mark techniques for fine-tuning
- Leverages a large amount of unlabeled video data to learn the spatial-temporal grounding and planning
- A strong generalization and ability to be fine-tuned for other agentic tasks
- SOTA in different multi-modal benchmarks spanning across UI navigation, robotics manipulation, image / video understanding and spatial understanding and reasoning
- Generates goal-driven visual plans and actions for agentic use cases

Model: microsoft/Magma-8B
Technical Report: Magma: A Foundation Model for Multimodal AI Agents (2502.13130)
burtenshaw 
posted an update 9 days ago
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6874
AGENTS + FINETUNING! This week Hugging Face learn has a whole pathway on finetuning for agentic applications. You can follow these two courses to get knowledge on levelling up your agent game beyond prompts:

1️⃣ New Supervised Fine-tuning unit in the NLP Course https://huggingface.co./learn/nlp-course/en/chapter11/1
2️⃣New Finetuning for agents bonus module in the Agents Course https://huggingface.co./learn/agents-course/bonus-unit1/introduction

Fine-tuning will squeeze everything out of your model for how you’re using it, more than any prompt.
  • 2 replies
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burtenshaw 
posted an update 11 days ago
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3244
NEW COURSE! We’re cooking hard on Hugging Face courses, and it’s not just agents. The NLP course is getting the same treatment with a new chapter on Supervised Fine-Tuning!

👉 Follow to get more updates https://huggingface.co./nlp-course

The new SFT chapter will guide you through these topics:

1️⃣ Chat Templates: Master the art of structuring AI conversations for consistent and helpful responses.

2️⃣ Supervised Fine-Tuning (SFT): Learn the core techniques to adapt pre-trained models to your specific outputs.

3️⃣ Low Rank Adaptation (LoRA): Discover efficient fine-tuning methods that save memory and resources.

4️⃣ Evaluation: Measure your model's performance and ensure top-notch results.

This is the first update in a series, so follow along if you’re upskilling in AI.
  • 2 replies
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burtenshaw 
posted an update 14 days ago
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3373
Hey, I’m Ben and I work at Hugging Face.

Right now, I’m focusing on educational stuff and getting loads of new people to build open AI models using free and open source tools.

I’ve made a collection of some of the tools I’m building and using for teaching. Stuff like quizzes, code challenges, and certificates.

burtenshaw/tools-for-learning-ai-6797453caae193052d3638e2
  • 1 reply
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davidberenstein1957 
posted an update 16 days ago
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3226
🚀 Find banger tools for your smolagents!

I created the Tools gallery, which makes tools specifically developed by/for smolagents searchable and visible. This will help with:
- inspiration
- best practices
- finding cool tools

Space: davidberenstein1957/smolagents-and-tools
  • 1 reply
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burtenshaw 
posted an update 17 days ago
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The Hugging Face agents course is finally out!

👉 https://huggingface.co./agents-course

This first unit of the course sets you up with all the fundamentals to become a pro in agents.

- What's an AI Agent?
- What are LLMs?
- Messages and Special Tokens
- Understanding AI Agents through the Thought-Action-Observation Cycle
- Thought, Internal Reasoning and the Re-Act Approach
- Actions, Enabling the Agent to Engage with Its Environment
- Observe, Integrating Feedback to Reflect and Adapt
davidberenstein1957 
posted an update 18 days ago
burtenshaw 
posted an update 21 days ago
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3557
SmolLM2 paper is out! 😊

😍 Why do I love it? Because it facilitates teaching and learning!

Over the past few months I've engaged with (no joke) thousands of students based on SmolLM.

- People have inferred, fine-tuned, aligned, and evaluated this smol model.
- People used they're own machines and they've used free tools like colab, kaggle, and spaces.
- People tackled use cases in their job, for fun, in their own language, and with their friends.

upvote the paper SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model (2502.02737)
  • 1 reply
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plaguss 
authored a paper 22 days ago
andito 
authored a paper 22 days ago
eliebak 
authored a paper 22 days ago
loubnabnl 
authored a paper 22 days ago
eliebak 
authored a paper 22 days ago
gabrielmbmb 
authored a paper 22 days ago
burtenshaw 
authored a paper 22 days ago
anton-l 
authored a paper 22 days ago
davidberenstein1957 
posted an update 22 days ago
davidberenstein1957 
posted an update 23 days ago