Pixtral is REALLY Good - Open-Source Vision Model
TLDRThis video introduces Pixol 12B, a new open-source vision model from Mistral AI. The model excels in multimodal tasks, handling both image and text data, with a particular strength in vision-related functions like image description and object recognition. The presenter tests Pixol 12B on various challenges such as CAPTCHA solving, image analysis, and code generation. While it struggles with logic and reasoning tasks, its vision capabilities are impressive. The video also highlights the simplicity of using cloud GPUs via Vulture, the video's sponsor, making it easy to scale AI applications.
Takeaways
- 🌐 Mistral AI released Pixol 12b, a new open-source Vision model.
- 🔗 The model is multimodal and trained with both image and text data.
- 📈 Pixol 12b has strong performance on multimodal tasks and excels in instruction following.
- 🏆 It achieves state-of-the-art performance on text-only benchmarks.
- 💾 The model is a 12 billion parameter multimodal decoder based on mRAW Nemo.
- 🖼️ Pixol 12b supports variable image sizes and aspect ratios.
- 🔗 It can handle multiple images in a long context window of 128,000 tokens.
- 📊 In benchmarks, Pixol 12b outperforms other models like LAVA, Quen, Gemini Flash, and CLA 3 Haiku.
- 💻 The model was tested on a variety of vision and text tasks, demonstrating impressive capabilities.
- 🔍 Pixol 12b successfully identified Bill Gates in a photo and solved a CAPTCHA challenge.
- 📱 It accurately analyzed an iPhone storage screenshot, answering specific questions about app storage usage.
- 😄 The model humorously explained a meme comparing startups and big companies.
Q & A
What is Pixol 12b?
-Pixol 12b is a new open-source Vision model, specifically a multimodal model, developed by Mistral AI. It is trained with interleaved image and text data and performs well on multimodal tasks.
What is the significance of the Apache 2.0 license for Pixol 12b?
-The Apache 2.0 license indicates that Pixol 12b is open-source and can be freely used, modified, and shared by others, which promotes collaboration and innovation within the AI community.
How does Pixol 12b perform on benchmarks compared to other models?
-Pixol 12b shows superior performance across the board in benchmarks, outperforming models like LAVA, QUEN, Gemini Flash 8B, CLA3 Haiku, and others.
What kind of tasks did the video demonstrate Pixol 12b performing?
-The video demonstrated Pixol 12b performing a variety of tasks including image description, celebrity recognition, solving captchas, analyzing phone storage screenshots, explaining memes, and converting images to text descriptions.
What is Vulture and how does it relate to the Pixol 12b model?
-Vulture is a cloud service that provides easy access to renting GPUs. In the video, Pixol 12b was loaded onto a Vulture-hosted Nvidia L40 GPU, showcasing the ease of using Vulture to run such AI models.
What was the outcome of the test where the model was asked to write the game Tetris in Python?
-Pixol 12b was unable to write the game Tetris in Python in one go, resulting in an attribute error, indicating that it is not specialized in logic and reasoning tasks.
How did Pixol 12b perform on the task of identifying Bill Gates in a photo?
-Pixol 12b successfully identified Bill Gates in a photo, providing details about his appearance and his role as co-founder of Microsoft and a philanthropist.
What was Pixol 12b's performance on solving captchas?
-Pixol 12b performed exceptionally well on solving captchas, quickly and accurately identifying the distorted letters in the challenge.
What was the result of the test where Pixol 12b was asked to explain a meme?
-Pixol 12b provided a detailed explanation of the meme, comparing startups and big companies using a construction analogy, and also explained what was funny about it.
What was the conclusion about the future of AI models based on the video?
-The video suggests that the future of AI models may involve using specialized models for specific tasks, such as using Pixol for vision tasks and other models for logic, reasoning, or complex queries.
Outlines
🤖 Testing Pixol 12b: An Open-Source Multimodal Vision Model
The video introduces Pixol 12b, a new open-source multimodal vision model by Mistral AI. The model is sponsored by Vulture, a cloud platform offering GPU rentals. Pixol 12b is licensed under Apache 2.0, trained with image and text data, and excels in multimodal tasks. The video showcases the model's performance on various tasks, including text and vision tasks. It is hosted on an Nvidia L40 GPU and accessed via an open AI-compliant API and open web UI. The model struggles with coding tasks but performs exceptionally well on vision tasks, such as image description and celebrity recognition.
📱 Pixol 12b's Impressive Performance on Practical Tasks
The video continues to test Pixol 12b's capabilities on more complex tasks. It successfully identifies the total and used storage on a phone, identifies the app using the most storage, and even solves a CAPTCHA. However, it fails to recognize that an app with a cloud download icon is not downloaded. The model also lists all apps and their storage usage from a screenshot. It explains a meme comparing startups and big companies and discusses the future of AI models, suggesting specialized models for different tasks. The video concludes with a recommendation for Vulture's services, offering a discount code for new users.
🔍 Advanced Tests with Pixol 12b: QR Codes, CSV Conversion, and HTML Coding
The video script describes advanced tests for Pixol 12b, including QR code analysis, CSV conversion from a screenshot, and HTML code generation from a sketch. The model fails to read the QR code without scanning it but successfully converts a table screenshot into CSV format. It also generates HTML code from a sketch, though it doesn't perfectly match the sketch. The model is then tested to find Waldo in a picture, which it does with some guidance. The video wraps up by emphasizing Pixol 12b's strengths as a vision model and thanks Vulture for sponsoring the video.
Mindmap
Keywords
💡Pixol 12b
💡Multimodal
💡Vulture
💡Mistral AI
💡Vision Model
💡Instruction Following
💡Benchmarks
💡API
💡Captcha
💡Meme
💡Specialized Models
Highlights
Mistral AI releases Pixol 12b, a new open-source Vision model.
Pixol 12b is a multimodal model trained with image and text data.
Pixol 12b is licensed under Apache 2.0, allowing for open-source use.
The model excels in multimodal tasks and instruction following.
Pixol 12b achieves state-of-the-art performance on text-only benchmarks.
It is a 12 billion parameter model supporting variable image sizes and aspect ratios.
Pixol 12b can handle multiple images in a long context window of 128,000 tokens.
Benchmarks show Pixol 12b outperforming other models like LAVA, QueN, Gemini Flash, and CLA.
The model is hosted on Vulture, a cloud platform for renting GPUs.
Vulture offers Nvidia GPUs, virtual CPUs, and other cloud services.
Using the code 'Burman300' provides $300 of free credit on Vulture.
Pixol 12b is tested for various vision and text tasks.
The model quickly and accurately describes images, such as a picture of a llama.
Pixol 12b successfully identifies Bill Gates in a photo.
The model solves a CAPTCHA challenge with high accuracy.
Pixol 12b provides detailed analysis of iPhone storage usage from a screenshot.
The model explains a meme comparing startups and big companies.
Pixol 12b converts a table screenshot into a perfect CSV format.
The model generates HTML code from a crudely drawn image of a potential app or website.
Pixol 12b finds Waldo in a 'Where's Waldo' puzzle with specific coordinates.
The video suggests a future with specialized AI models for different tasks.
Vulture is recommended for loading models that require more resources than a local machine can provide.
