DataHour: Improving Search Results with Semantic Search

DataHour Recording

About the DataHour:

Pre-trained transformer models have significantly improved search results and yield much better results, even with the absence of linking information (PageRank) or click-rates. This is especially beneficial for use-cases where such information is not available. In this DataHour, Nils will cover the basics of semantic search and how to integrate it into systems to yield a better search experience to users.

Prerequisites: Enthusiasm for learning Data Science.

Who is this DataHour for?

• Students with an interest in Data Science.
• Data science professionals who want to accelerate their career growth.

Speaker:

Nils Reimers

Director of Machine Learning @ Cohere.ai | ex-HuggingFace

Nils Reimers is an expert on search relevance using pre-trained transformer network. In 2018, he authored and open-sourced the popular sentence-transformers library, which is the most popular framework to design semantic search applications. Recently, he joined cohere.ai as principal scientist to lead the Search-as-a-Service team to develop new state-of-the-art neural search models and to make them broadly accessible as API endpoints.

You can follow him on Linkedin and Twitter.