Neural Networks Engineering

​​ How many layers to fine-tune? Model fine-tuning allows you to improve the quality of the pre-trained models with just a fraction of…

One of the main features of the framework is caching. It allows you to infer large models only once and then use cached vectors during the…

​​ Filterable HNSW - part 2 In a previous article on the filter when searching for nearest neighbors, we discussed the theoretical…

​​ Triplet loss - Advanced Intro Loss functions in metric learning are all chasing the same goal - to make positive pairs closer and…

Similarity Learning lacks a framework. So we built one. Many general-purpose frameworks allow you to train Computer Vision or NLP tasks…