jesse
@jn2clark.bsky.social
Founder @marqo_ai, multimodal search, http://github.com/marqo-ai/marqo. Made robots see & learn @ Amazon RAI. Ex physicist @ Stanford & UCL, http://jn2clark.github.io
Reposted by 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...
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...
December 9, 2024 at 1:11 PM
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...
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...
Reposted by jesse
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.
🧵 (1/5)
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.
🧵 (1/5)
November 27, 2024 at 8:43 PM
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.
🧵 (1/5)
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.
🧵 (1/5)
Reposted by jesse
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.
🧵
Together, we demonstrated an advanced video search and Q&A solution that leverages Marqo's embedding model and vector database alongside Amazon Bedrock LLM.
🧵
November 25, 2024 at 10:00 PM
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.
🧵
Together, we demonstrated an advanced video search and Q&A solution that leverages Marqo's embedding model and vector database alongside Amazon Bedrock LLM.
🧵
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.
Recently @marqo-ai.bsky.social
open-weight (Apache 2.0) released the two best embedding models for ecommerce search and recommendations available anywhere.
November 24, 2024 at 10:01 PM
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.
Recently @marqo-ai.bsky.social
open-weight (Apache 2.0) released the two best embedding models for ecommerce search and recommendations available anywhere.
Reposted by jesse
Building a search application has never been so easy 👇
November 21, 2024 at 8:31 PM
Building a search application has never been so easy 👇