Pixtral-12B: A 12B Multimodal Model with a 128K Context Window from Mistral AI🔥
Welcome to the latest AI in 5 newsletter with Clarifai!
Every week we bring you new models, tools, and tips to build production-ready AI!
Here's a summary of what we will be covering this week: 👇
Pixtral-12 B 🔥
Pixtral-12B is a cutting-edge multimodal language model from Mistral AI designed to effectively process both natural language and visual inputs including reasoning with charts, figures, and natural scenes.
Pixtral can also process images of different sizes and aspect ratios, enhancing its versatility for tasks involving complex visuals.
Additionally, it offers a long context window of 128K tokens, allowing it to manage multiple images and substantial amounts of text efficiently.
The model is now available on the Clarifai platform. Try it out or access it via API for your vision use cases! 👇
Control Center 🚀
We have recently launched the new Clarifai Control Center, the unified dashboard, and a single pane of glass to monitor everything happening within your account on the platform.
Control Center helps streamline the management of your Clarifai operations by consolidating all activities into a single interface, minimizing the need to switch between different tools or windows.
Recommended by LinkedIn
Check out the quick tutorial below to learn more about Control Center!
Tutorial: Control Center
Model Upload using Python SDK [Private Preview] 💥
The Clarifai Python SDK now allows you to upload custom models easily. Whether you're working with a pre-trained model from an external source or one you've built from scratch.
The feature is currently in Private Preview, and we would love for you to try it out and provide feedback. Learn more about it here.
Tip of the Week: 📌
Multimodal models can handle both text and image inputs. But, they aren’t accurate when it comes to giving the exact bounding box coordinates of objects.
What’s the solution?
First, use a General Object Detection Model to detect the objects and draw the bounding box, then leverage the Zero-Shot capabilities of the multimodal models like GPT-4 Vision or Pixtral-12B to improve the predictions and label the objects.
Check out this tutorial to learn more.
Want to learn more from Clarifai? “Subscribe” to make sure you don’t miss the latest news, tutorials, educational materials, and tips. Thanks for reading!
Student at Mumbai University Mumbai
3wClarifai 🎓 Introducing Specialized AI for Student Problems! 🤖📚 Students face many challenges—understanding complex topics, summarizing lengthy textbooks, and finding accurate answers quickly. What if AI could solve these problems efficiently? 🚀 I’ve built a specialized AI that helps students by: ✅ Processing Scanned PDFs – Converts textbooks into structured, self-explanatory notes. ✅ AI-Powered Summarization – Extracts key points, formulas, and explanations. ✅ Interactive Q&A – Students can ask AI questions and get instant, context-aware responses. ✅ Faster Learning & Retention – Simplifies complex concepts for better understanding. 🌟 Why This is a Game-Changer? Most AI tools struggle with scanned textbooks, but my solution bridges this gap. No more manual note-taking, no more struggling to find answers—just smarter studying! 🚀 Future Enhancements: 🔹 Handwritten Notes Recognition 🔹 Mathematical Formula & Diagram Understanding 🔹 Voice-Based Q&A Interaction 🔹 Cloud Integration for Seamless Access 📢 Imagine if Google, OpenAI, Meta, or NVIDIA integrated this into their AI models! This could revolutionize student learning globally. 💡 What are your thoughts? How else can AI enhance education? Let’s discuss in the comments!