### Graph Neural Networks (GNNs) with Learnable Structural and Positional Representations

[LEARN MORE](/content/sauravmaheshkar/gnn-lspe/reports/Graph-Neural-Networks-GNNs-with-Learnable-Structural-and-Positional-Representations--VmlldzoxNDY5MDc5/index.html)

### PoE-GAN: Generating Images from Multi-Modal Inputs

[LEARN MORE](/content/geekyrakshit/poegan/reports/PoE-GAN-Generating-Images-from-Multi-Modal-Inputs--VmlldzoxNTA5MzUx/index.html)

### Tables Tutorial: Visualize Data for Image Classification

[LEARN MORE](/content/stacey/mendeleev/reports/Tables-Tutorial-Visualize-Data-for-Image-Classification--VmlldzozNjE3NjA/index.html)

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**Tutorial: Evaluating single-image 3D reconstruction**  
In this article, we'll build a complete evaluation pipeline for SHARP using the Middlebury stereo dataset.  
[Read more](/content/byyoung3/middlebury-eval/reports/Tutorial-Evaluating-single-image-3D-reconstruction--VmlldzoxNTY3MzUwNQ/index.html)  
*Jan 27, 2026*

**LLaVA-o1: Advancing structured reasoning in vision-language models**  
Discover how LLaVA-o1 tackles reasoning challenges in multimodal AI with structured problem-solving. Learn about its dataset, capabilities, and performance analysis using W&B Weave.  
[Read more](/content/byyoung3/ML_NEWS3/reports/LLaVA-o1-Advancing-structured-reasoning-in-vision-language-models--VmlldzoxMDMyMzc1Mg/index.html)  
*Dec 03, 2024*

**Working with Pixtral Large for visual chart understanding**  
A battle between Open Source Pixtral Large and closed source foundation models like Claude 3.5 Sonnet and GPT-4o Vision  
[Read more](/content/byyoung3/ML_NEWS3/reports/Working-with-Pixtral-Large-for-visual-chart-understanding--VmlldzoxMDIzOTUyNA/index.html)  
*Nov 19, 2024*

**Vision fine-tuning GPT-4o on a custom dataset**  
Learn to vision fine-tune GPT-4o on a custom dataset, with evaluation and tracking.  
[Read more](/content/byyoung3/ML_NEWS3/reports/Vision-fine-tuning-GPT-4o-on-a-custom-dataset--Vmlldzo5NjI0MDY0/index.html)  
*Oct 11, 2024*

**Using Segment Anything 2 with Weights & Biases**  
In this tutorial, we will cover how to use the Segment Anything 2 model using the Weights & Biases to log segmentation masks from automatic or prompted mask generation.  
[Read more](/content/sauravmaheshkar/samv2/reports/Using-Segment-Anything-2-with-Weights-Biases--Vmlldzo5MzU4MTE3/index.html)  
*Sep 24, 2024*

**How to fine-tune YOLO V9 on a custom dataset with W&B**  
Fine tuning one of the best detection models!  
[Read more](/content/byyoung3/ML-NEWS2/reports/How-to-fine-tune-YOLO-V9-on-a-custom-dataset-with-W-B---Vmlldzo4ODE3Mjk1/index.html)  
*Aug 01, 2024*

**Self-Supervised Image Recognition with IJEPA**  
[Read more](/content/byyoung3/ML_NEWS/reports/Self-Supervised-Image-Recognition-with-IJEPA---Vmlldzo4NDk5MzM1/index.html)  
*Jul 12, 2024*

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*Additional articles available on *[Weights & Biases blog](/content/fully-connected/index.html).*