Shashank Verma

Shashank Verma is a deep learning technical marketing engineer at NVIDIA. He is responsible for developing and presenting developer-focused content on various deep learning frameworks. He obtained his master's in electrical engineering from the University of Wisconsin-Madison, where he focused on computer vision, security aspects in data science, and HPC.
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Posts by Shashank Verma

Illustration representing LLMs.
Generative AI

Unlock Your LLM Coding Potential with StarCoder2

Coding is essential in the digital age, but it can also be tedious and time-consuming. That's why many developers are looking for ways to automate and... 7 MIN READ
Illustration demonstrating RAG.
Generative AI

Evaluating Retriever for Enterprise-Grade RAG

The conversation about designing and evaluating Retrieval-Augmented Generation (RAG) systems is a long, multi-faceted discussion. Even when we look at retrieval... 14 MIN READ
Generative AI

Generate Code, Answer Queries, and Translate Text with New NVIDIA AI Foundation Models

This week’s Model Monday release features the NVIDIA-optimized code Llama, Kosmos-2, and SeamlessM4T, which you can experience directly from your browser.... 10 MIN READ
Decorative image.
Generative AI

Query Graphs with Optimized DePlot Model

NVIDIA AI Foundation Models and Endpoints provides access to a curated set of community and NVIDIA-built generative AI models to experience, customize, and... 6 MIN READ
Generative AI

Build Enterprise Retrieval-Augmented Generation Apps with NVIDIA Retrieval QA Embedding Model

Large language models (LLMs) are transforming the AI landscape with their profound grasp of human and programming languages. Essential for next-generation... 12 MIN READ
Generative AI

Mastering LLM Techniques: Inference Optimization

Stacking transformer layers to create large models results in better accuracies, few-shot learning capabilities, and even near-human emergent abilities on a... 25 MIN READ