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John Johnson

jjokah

AI & ML interests

Natural Language Processing

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jjokah's activity

reacted to their post with šŸ‘ about 14 hours ago
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The past few years have been a blast for artificial intelligence, with large language models (LLMs) stunning everyone with their capabilities and powering everything from chatbots to code assistants. However, not all applications demand the massive size and complexity of LLMs, the computational power required makes them impractical for many use cases. This is why Small Language Models (SLMs) entered the scene to make powerful AI models more accessible by shrinking in size.

In this article we went through what SLMs are, how they are made small, their benefits and limitations, real-world use cases, and how they can be used on mobile and desktop devices.
https://huggingface.co/blog/jjokah/small-language-model
posted an update about 14 hours ago
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577
The past few years have been a blast for artificial intelligence, with large language models (LLMs) stunning everyone with their capabilities and powering everything from chatbots to code assistants. However, not all applications demand the massive size and complexity of LLMs, the computational power required makes them impractical for many use cases. This is why Small Language Models (SLMs) entered the scene to make powerful AI models more accessible by shrinking in size.

In this article we went through what SLMs are, how they are made small, their benefits and limitations, real-world use cases, and how they can be used on mobile and desktop devices.
https://huggingface.co/blog/jjokah/small-language-model
upvoted an article 1 day ago
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Small Language Models (SLMs): A Comprehensive Overview

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published an article 1 day ago
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Article

Small Language Models (SLMs): A Comprehensive Overview

By jjokah ā€¢
ā€¢ 7
reacted to burtenshaw's post with ā¤ļø 16 days ago
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3512
SmolLM2 paper is out! šŸ˜Š

šŸ˜ 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)
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reacted to burtenshaw's post with šŸ‘ about 1 month ago
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šŸ“£ 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
reacted to their post with šŸ‘ 3 months ago
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790
Google's revamped Machine Learning Crash Course covers the recent advances in AI, with an increased focus on interactive learning.

šŸ“ 100+ exercises
šŸ—‚ 12 modules
šŸ•’ 15 hours
šŸ“¹ Video explainers of ML concepts
šŸŒŽ Real-world examples
šŸ“Š Interactive visualizations

Ref:
https://developers.google.com/machine-learning/crash-course
posted an update 3 months ago
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790
Google's revamped Machine Learning Crash Course covers the recent advances in AI, with an increased focus on interactive learning.

šŸ“ 100+ exercises
šŸ—‚ 12 modules
šŸ•’ 15 hours
šŸ“¹ Video explainers of ML concepts
šŸŒŽ Real-world examples
šŸ“Š Interactive visualizations

Ref:
https://developers.google.com/machine-learning/crash-course