SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
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2502.02737
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John Johnson
jjokah
AI & ML interests
Natural Language Processing
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SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language
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SmolLM2 paper is out! š
š 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 https://huggingface.co/papers/2502.02737
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š£ Teachers and Students! Here's a handy quiz app if you're preparing your own study material.
TLDR, It's a quiz that uses a dataset to make questions and save answers
Here's how it works:
- make a dataset of multiple choice questions
- duplicate the space add set the dataset repo
- log in and do the quiz
- submit the questions to create a new dataset
I made this to get ready for the agents course, but I hope it's useful for you projects too!
quiz app https://huggingface.co/spaces/burtenshaw/dataset_quiz
dataset with questions https://huggingface.co/datasets/burtenshaw/exam_questions
agents course we're working on https://huggingface.co/agents-course
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jjokah's activity
upvoted
a
paper
1 day ago
reacted to
burtenshaw's
post with ā¤ļø
1 day ago
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SmolLM2 paper is out! š
š 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)
š 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)
reacted to
burtenshaw's
post with š
15 days ago
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š£ Teachers and Students! Here's a handy quiz app if you're preparing your own study material.
TLDR, It's a quiz that uses a dataset to make questions and save answers
Here's how it works:
- make a dataset of multiple choice questions
- duplicate the space add set the dataset repo
- log in and do the quiz
- submit the questions to create a new dataset
I made this to get ready for the agents course, but I hope it's useful for you projects too!
quiz app burtenshaw/dataset_quiz
dataset with questions burtenshaw/exam_questions
agents course we're working on https://huggingface.co/agents-course
TLDR, It's a quiz that uses a dataset to make questions and save answers
Here's how it works:
- make a dataset of multiple choice questions
- duplicate the space add set the dataset repo
- log in and do the quiz
- submit the questions to create a new dataset
I made this to get ready for the agents course, but I hope it's useful for you projects too!
quiz app burtenshaw/dataset_quiz
dataset with questions burtenshaw/exam_questions
agents course we're working on https://huggingface.co/agents-course
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Google's revamped Machine Learning Crash Course covers the recent advances in AI, with an increased focus on interactive learning.
š 100+ exercises
š 12 modules
š 15 hours
š¹ Video explainers of ML concepts
š Real-world examples
š Interactive visualizations
Ref:
https://developers.google.com/machine-learning/crash-course
š 100+ exercises
š 12 modules
š 15 hours
š¹ Video explainers of ML concepts
š Real-world examples
š Interactive visualizations
Ref:
https://developers.google.com/machine-learning/crash-course
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3 months ago
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Google's revamped Machine Learning Crash Course covers the recent advances in AI, with an increased focus on interactive learning.
š 100+ exercises
š 12 modules
š 15 hours
š¹ Video explainers of ML concepts
š Real-world examples
š Interactive visualizations
Ref:
https://developers.google.com/machine-learning/crash-course
š 100+ exercises
š 12 modules
š 15 hours
š¹ Video explainers of ML concepts
š Real-world examples
š Interactive visualizations
Ref:
https://developers.google.com/machine-learning/crash-course
Sure. With a framework like Gradio.
https://www.gradio.app/guides/sharing-your-app#api-page
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