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Building and Deploying a Semantic Search Engine on Hugging Face


Enhancing Search Accuracy with Semantic Search Engine Technology

Unlock the power of semantic search with this hands-on tutorial. Learn how to build a semantic search engine from scratch and deploy it as an API on Hugging Face. Perfect for data scientists, engineers, and developers, this tutorial will cover natural language processing techniques and how to implement a search algorithm that understands user intent.

By the end of the tutorial, you will:

– Understand the value of context in Natural Language Processing

– Learn how to build a semantic search engine from scratch.

– Deploy your search engine as an API on Hugging Face.

Whether you’re new to the field or an experienced professional, this tutorial is a great opportunity to enhance your skills and take your data projects to the next level.

Instructor Hamza Farooq from Traversaal AI, guiding participants through the LLM Bootcamp.
Hamza Farooq

Senior Manager Research Science at Google

Hamza has over a decade of experience in leading Data Science/ Machine Learning teams. His tenure spans over three continents and seven countries across APAC, Middle East and Africa and North America and multiple industries, namely, Tech, Telecommunications, Finance and Retail.

We are looking for passionate people willing to cultivate and inspire the next generation of leaders in tech, business, and data science. If you are one of them get in touch with us!