Tanay Varshney

Tanay Varshney is a senior developer advocate engineer at NVIDIA responsible for a wide range of DL software products. He has a master's degree in computer science from New York University focused on the cross section of computer vision, data visualization, and urban analytics.
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Posts by Tanay Varshney

Generative AI Dec 16, 2024

An Easy Introduction to Multimodal Retrieval-Augmented Generation for Video and Audio

Building a multimodal retrieval-augmented generation (RAG) system is challenging. The difficulty comes from capturing and indexing information from across... 12 MIN READ
Decorative image of a person looking at a laptop with an overlay of the NVIDIA NIM logo.
Generative AI Aug 28, 2024

Build an Enterprise-Scale Multimodal PDF Data Extraction Pipeline with an NVIDIA AI Blueprint

Trillions of PDF files are generated every year, each file likely consisting of multiple pages filled with various content types, including text, images,... 8 MIN READ
An illustration representing text retrieval pipelines for RAG.
Generative AI Jul 23, 2024

Develop Production-Grade Text Retrieval Pipelines for RAG with NVIDIA NeMo Retriever 

Enterprises are sitting on a goldmine of data waiting to be used to improve efficiency, save money, and ultimately enable higher productivity. With generative... 6 MIN READ
An illustration representing syntheti
Generative AI Jul 23, 2024

Creating Synthetic Data Using Llama 3.1 405B

Synthetic data isn’t about creating new information. It's about transforming existing information to create different variants. For over a decade, synthetic... 15 MIN READ
An illustration representing an embedding model.
Generative AI Jun 10, 2024

NVIDIA Text Embedding Model Tops MTEB Leaderboard

The latest embedding model from NVIDIA—NV-Embed—set a new record for embedding accuracy with a score of 69.32 on the Massive Text Embedding Benchmark... 6 MIN READ
Decorative image of images and text being fed into a computer and resulting in a synthesized output.
Generative AI Mar 20, 2024

An Easy Introduction to Multimodal Retrieval-Augmented Generation

A retrieval-augmented generation (RAG) application has exponentially higher utility if it can work with a wide variety of data types—tables, graphs, charts,... 12 MIN READ