Fine-Tuning Gemma 3 allows us to adapt this advanced model to specific tasks, optimizing its performance for domain-specific applications. By leveraging QLoRA (Quantized Low-Rank Adaptation) and ...
Gemma 3: A Comprehensive Introduction
Gemma 3 is the latest addition to Google's family of open models, built from the same research and technology used to create the Gemini models. It is designed to be lightweight yet powerful, enabling ...
Fine-Tuning YOLOv12: Comparison with YOLOv11 & Darknet-Based YOLOv7
Object detection has undergone tremendous advancements, with models like YOLOv12, YOLOv11, and Darknet-Based YOLOv7 leading the way in real-time detection. While these models perform exceptionally ...
Agentic AI: An Introduction to Autonomous Intelligent Systems
AI, being no longer confined to passive algorithms, is transforming itself into autonomous agents that can perceive, reason, and act with increasing intelligence. These agents are designed to navigate ...
SimSiam: Streamlining SSL with Stop-Gradient Mechanism
SimSiam holds an eminent status in Self-Supervised Learning by simplifying Representation Learning without relying on negative pairs - typically employed in SimCLR to contrast between dissimilar ...
Contrastive Learning – SimCLR and BYOL (With Code Example)
Supervised Learning has been dominant for years, but its reliance on labeled data—a costly and time-consuming resource—creates challenges, especially in areas like medical imaging. On the other hand, ...