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6pieces

Aug 18, 20242 min read

GPT, PaLM, GLM, LLaMA and beyond: Large language models in medicine

GPT, PaLM, GLM, and LLaMA applied to medicine: where they are already useful, where they fall short, and what the open challenges are.

machine-learning-theorylarge-language-modelsmachine-learningmachine-learning-models
Aug 17, 20245 min read

Power of Multimodal Machine Learning: Challenges, Innovations, and Future Directions

What makes multimodal machine learning hard, which recent innovations moved it forward, and where integration across modalities is heading.

machine-learning-theorymultimodalmachine-learningmachine-learning-models
Aug 15, 20248 min read

Understanding Key Insights and Trends in Large Language Models

How large language models are built and how they have evolved, traced through the key insights and trends behind each generation.

machine-learning-theorylarge-language-modelsmachine-learningmachine-learning-models
Jul 20, 202410 min read

An in-Depth Look at Leading Computer Vision ML Models

The leading computer vision model families in one place, from the architecture each uses to the task it is actually good at.

machine-learning-theorycomputer-visionmachine-learningmachine-learning-models
May 20, 20243 min read

What is OpenMMLab and how it is used in computer vision

OpenMMLab as a computer vision platform: what MMDetection, MMSegmentation, MMPose, MMOCR, and MMDeploy each cover, and where they fit in a workflow.

machine-learning-theoryobject-detectionmachine-learning
Apr 29, 20241 min read

Yet another gentle intro to the YOLO-NAS model

How Deci AI's YOLO-NAS combines neural architecture search with YOLO object detection, from its multi-phase training to reading the model's output.

machine-learning-theory