Image Processing Using Llama 3.2 with Hugging Face Transformers
Extract employee details from images using AI-powered image processing with Llama 3.2 Vision, integrated with the cloud provider’s cloud infrastructure.
Intro to optimization in deep learning: Momentum, RMSProp and Adam
In this post, we take a look at a problem that plagues training of neural networks, pathological curvature.
Kimi K2, An Open-weight Agentic Model From Moonshot AI
‘This article discusses Kimi K2, a 1T parameter open-weight MoE model designed for agentic use. The goal is to make the technical report more digestible for those interested in learning about how Kimi K2 was developed.’
Choosing Between LlamaIndex and LangChain: Finding the Right Tool for Your AI Application
Trying to decide between LlamaIndex and Langchain? Gain an overview and understand the key differences between the two most trending frameworks in the era of LLM.
How to Manually Optimize ML Parameters for Peak Performance
Learn how to manually tune machine learning parameters for peak performance with the best practices—no automation needed.
Model Interpretability and Understanding for PyTorch using Captum
In this blog post, we examine Captum, which supplies academics and developers with cutting-edge techniques, such as Integrated Gradients, that make it simple to identify the elements that contribute to a model’s output. We then put these techniques to use in a coding demo with ResNet.
Optimizing Natural Language Processing Models Using Backtracking Algorithms: A Systematic Approach
Tips for optimizing NLP models with backtracking algorithms, with coded examples.
Panoptic Segmentation: Unifying Semantic and Instance Segmentation
In this article learn about Panoptic segmentation, an advanced technique offers detailed image analysis, making it crucial for applications in autonomous driving, medical imaging, and more.
Best Python Libraries for Machine Learning in 2025
Discover the best Python libraries for machine learning, from TensorFlow to Scikit-learn. Learn how to choose the right one for your project.
R1-Onevision: The Latest in Open-Source Multimodal Reasoning
‘The goal of this article is to give readers an overview of the training methodology behind R1-Onevision and implement the model on GPU cloud servers.’
