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

Generative AI / LLMs

Leverage the Latest Open Models for Synthetic Data Generation with NVIDIA Nemotron-4 340B

Since the introduction and subsequent wide adoption of Large Language Models (LLMs) – data has been the lifeblood of businesses building accurate and safe AI... 9 MIN READ
Generative AI / LLMs

Customizing NVIDIA NIM for Domain-Specific Needs with NVIDIA NeMo

Large language models (LLMs) adopted for specific enterprise applications most often benefit from model customization. Enterprises need to tailor ‌LLMs for... 11 MIN READ
Generative AI / LLMs

Seamlessly Deploying a Swarm of LoRA Adapters with NVIDIA NIM

The latest state-of-the-art foundation large language models (LLMs) have billions of parameters and are pretrained on trillions of tokens of input text. They... 11 MIN READ
Illustration representing LLMs.
Generative AI / LLMs

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 / LLMs

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 / LLMs

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