Search a title or topic

Over 20 million podcasts, powered by 

Player FM logo
Artwork

Content provided by Dr. Satya Mallick. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr. Satya Mallick or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

SmolVLM: Small Yet Mighty Vision Language Model

14:26
 
Share
 

Manage episode 509724918 series 3693358
Content provided by Dr. Satya Mallick. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr. Satya Mallick or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode of Artificial Intelligence: Papers and Concepts, we explore SmolVLM, a family of compact yet powerful vision language models (VLMs) designed for efficiency.

Unlike large VLMs that require significant computational resources, SmolVLM is engineered to run on everyday devices like smartphones and laptops.

We dive into the research paper SmolVLM: Redefining Small and Efficient Multimodal Models and a related HuggingFace blog post, discussing key design choices such as optimized vision-language balance, pixel shuffle for token reduction, and learned positional tokens to improve stability and performance.

We highlight how SmolVLM avoids common pitfalls such as excessive text data and chain-of-thought overload, achieving impressive results— outperforming models like idefics-80b, which is 300 times larger—while using minimal GPU memory (as low as 0.8GB for the 256M model).

The episode also covers practical applications, including running SmolVLM in a browser, mobile apps like HuggingSnap, and specialized uses like BioVQA for medical imaging. This episode underscores SmallVLM’s role in democratizing advanced AI by making multimodal capabilities accessible and efficient.

Resources:

  1. SmolVLM Paper
  2. HuggingFace BlogPost

Sponsors

  1. Big Vision LLC - Computer Vision and AI Consulting Services.
  2. OpenCV University - Start your AI Career today!
  continue reading

One episode

Artwork
iconShare
 
Manage episode 509724918 series 3693358
Content provided by Dr. Satya Mallick. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr. Satya Mallick or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode of Artificial Intelligence: Papers and Concepts, we explore SmolVLM, a family of compact yet powerful vision language models (VLMs) designed for efficiency.

Unlike large VLMs that require significant computational resources, SmolVLM is engineered to run on everyday devices like smartphones and laptops.

We dive into the research paper SmolVLM: Redefining Small and Efficient Multimodal Models and a related HuggingFace blog post, discussing key design choices such as optimized vision-language balance, pixel shuffle for token reduction, and learned positional tokens to improve stability and performance.

We highlight how SmolVLM avoids common pitfalls such as excessive text data and chain-of-thought overload, achieving impressive results— outperforming models like idefics-80b, which is 300 times larger—while using minimal GPU memory (as low as 0.8GB for the 256M model).

The episode also covers practical applications, including running SmolVLM in a browser, mobile apps like HuggingSnap, and specialized uses like BioVQA for medical imaging. This episode underscores SmallVLM’s role in democratizing advanced AI by making multimodal capabilities accessible and efficient.

Resources:

  1. SmolVLM Paper
  2. HuggingFace BlogPost

Sponsors

  1. Big Vision LLC - Computer Vision and AI Consulting Services.
  2. OpenCV University - Start your AI Career today!
  continue reading

One episode

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play