Philippe Bouzaglou

Philippe Bouzaglou

Vectra Multimodal Embeddings

Philippe pioneered the concept of the Social Graph while attending Harvard with Mark Zuckerberg. He has since gone on to achieve significant contributions in the fields of data science and machine learning. Recently, he was VP of Data Science and Machine Learning and responsible for search at Gorillas, the quick-commerce company that pioneered grocery delivery within the hour. He is now the technical founder at Vectra, an AI company creating the foundation model for e-commerce search.

Sessions

Introducing Per-Document Embedding Fine-Tuning

We introduce per-document fine-tuning, a method that updates individual embeddings with new information while keeping the embedding model frozen. For example, applied to product search, it enriches product image embeddings with abstract attributes such as material and use case, improving retrieval without costly and risky model fine-tuning.