Thoughts
Exploring LLM threats and defenses in robotics
Discover the potential risks ⚠️ of LLM-controlled robots, including jailbreak attacks and physical threats, and explore cutting-edge defenses like SmoothLLM to ensure safety and security in AI-powered robotics.
Metrics for evaluating classification models
Discover essential metrics for evaluating object detection and classification models, including precision, recall, F1 score, FLOPs, and model parameters. Learn how to assess both model accuracy and complexity for optimized performance and efficiency 🔋
Top models for image classification
Explore the top neural network models in computer vision 👾, including EfficientNet, YOLOv8, ViT, and OmniVec. Learn how each excels in tasks like image classification, real-time object detection, and multi-modal learning.
Linear Regression Still Going Strong
Linear regression was invented more than 200 years ago, but it remains one of the fundamental statistical model. Let's explore why 📈
Supervised vs Unsupervised Machine Learning
Supervised learning requires labeled data. However, in practice, unlabeled data is much more common. But what about popularity of supervised vs. unsupervised machine learning algorithms? Let's dive into that topic 🤖