Want to avoid the pitfalls of fine-tuning and improve your computer vision model's performances? Kili Technology's lead ML engineer got you covered. Read on
Deploying Computer Vision Models: Tools & Best Practices
Learning from Weakly-Labeled Videos via Sub-Concepts – Google
10 Biggest Mistakes in Machine Learning and How to Avoid Them
Bridging the Gap: MLOps Linking ML Research and Production
Multi-phase Fine-Tuning: A New Fine-Tuning Approach for Sign
Making ML models differentially private: Best practices and open
What is Overfitting in Computer Vision? How to Detect and Avoid it
A Machine Learning Tutorial with Examples
What is prompt tuning?
Data Versioning & Feedback Loop Best Practices in Computer Vision
What is Machine Learning? Definition, Types, Applications, and
Fine-Tuning in AI: Key Techniques, Importance, and Use Cases