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ML/AI Writing
Machine learning notes, model architecture explainers, and practical AI write-ups.
Trust Region Policy Optimization, Proximal Policy Optimization
Off-policy algorithms uses past experiences, while Proximal Policy Optimization (PPO) and Trust Region Policy Optimization (TRPO) offer advanced strategies for stable policy evolution in reinforcement learning.
GPT, PaLM, GLM, LLaMA and beyond: Large language models in medicine
Discover how Large Language Models (LLMs) like GPT, PaLM, GLM, and LLaMA are revolutionizing medicine. Explore applications, challenges, and the future of AI and ML in healthcare.
Power of Multimodal Machine Learning: Challenges, Innovations, and Future Directions
Learn about the transformative impact of multimodal machine learning, highlighting key challenges, recent innovations, and the future of machine learning integration and AI development across diverse data modalities
Understanding Key Insights and Trends in Large Language Models
Learn about how large language models (LLMs) has been made and evolved by looking into its key insights and trends
What is Deep Reinforcement Learning (RL)
Here we introduce language and notation used to discuss RL and explain what RL do
An in-Depth Look at Leading Computer Vision ML Models
Discover top computer vision algorithms and techniques in machine learning, with thorough explanations and ongoing updates.
What is OpenMMLab and how it is used in computer vision
Navigate DevOps, MLOps, and Kaizen in AWS, Azure, and GCP
YOLO and object detection
The YOLO (You Only Look Once) series of fast object detection models has seen significant improvements from YOLOv1 and beyond
Yet another gentle intro to the YOLO-NAS model
Navigate DevOps, MLOps, and Kaizen in AWS, Azure, and GCP
Fooocus Fantasia: Navigating Generative Magic
Dive deep into the world of Fooocus, where generative artistry meets innovative functionality
Behind Generative Models [In Progress ]
Explore the mechanics behind diffusion-based models like Mid-journey, DALL-E, and Stable Diffusion, which have revolutionized machine learning-based image and text generation
The Generative Lens: Crafting Camera Angles with Precision
A guide to refining camera angle outputs in generative platforms using nuanced prompt strategies.
Q-learning
Q-learning is a reinforcement learning technique where an agent iteratively learns the value of its actions to navigate towards optimal outcomes in an environment.