jesse

Who are Marqo and what do we do?

Listen to our Co-founder and CTO, @jn2clark.bsky.social give a talk at the Google for Startups Accelerator Demo Day at Google HQ in Sydney.

Watch the full video here:
www.youtube.com/watch?v=LKYs...

We've all heard about CLIP but have you heard about GCL?

Generalized Contrastive Learning (GCL) is a generalization of the CLIP. GCL accommodates any number of text and images when representing documents, and also encodes relevance (or rank) to provide better first stage retrieval.

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We had the pleasure of attending the Sydney AI Meetup to present a collaboration between Marqo and AWS!

Together, we demonstrated an advanced video search and Q&A solution that leverages Marqo's embedding model and vector database alongside Amazon Bedrock LLM.

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Introducing Marqo Specialized Embedding Models for Ecommerce: Powering Multimodal AI Search We have launched two foundation models for ecommerce that deliver much higher performance for product search and recommendations. These models excel in generating multimodal product embeddings from im...

Blog: marqo.ai/blog/introdu...
GitHub: github.com/marqo-ai/mar...
Hugging Face: huggingface.co/collections/...

+ Released 2 evaluation datasets: GoogleShopping-1m and AmazonProducts-3m.
+ Released evaluation code.
+ Apache 2.0 model weights available on @huggingface
and to test out on Hugging Face Spaces.

+ Up to 231% improvement over other bench-marked models (see blog below).
+ Evaluated on over 4M products across 10,000's of categories.
+ Detailed performance comparisons across three major tasks: Text2Image, Category2Image, and AmazonProducts-Text2Image.

+ Up to 88% improvement on the best private model, Amazon-Titan-Multimodal (and better than Google Vertex, Cohere).
+ Up to 31% improvement on the best open source model, ViT-SO400M-14-SigLIP.
+ 5ms single text/image inference (A10g).

Marqo ecommerce models significantly outperform models from Amazon, Google, Cohere and Jina (see below).
Fun fact: we had to create a significantly smaller and easier evaluation dataset just to accommodate some of the private models!

Cross-posting some stuff here.
Recently @marqo-ai.bsky.social
open-weight (Apache 2.0) released the two best embedding models for ecommerce search and recommendations available anywhere.

Building a search application has never been so easy 👇