Vinh Nguyen

Vinh Nguyen is a deep learning engineer and data scientist, having published more than 50 scientific articles that collectively attracted more than 5,000 citations. At NVIDIA, his work spans a wide range of deep learning and AI applications, including large language models and multi-modality models.
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Posts by Vinh Nguyen

How the Llama-Nemotron 30M Post Training Dataset was created
Generative AI

Build Custom Reasoning Models with Advanced, Open Post-Training Datasets

Synthetic data has become a standard part of large language model (LLM) post-training procedures. Using a large number of synthetically generated examples from... 5 MIN READ
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Generative AI

LLM Inference Benchmarking Guide: NVIDIA GenAI-Perf and NIM

This is the second post in the LLM Benchmarking series, which shows how to use GenAI-Perf to benchmark the Meta Llama 3 model when deployed with NVIDIA NIM.?... 11 MIN READ
Generative AI

LLM Inference Benchmarking: Fundamental Concepts

This is the first post in the large language model latency-throughput benchmarking series, which aims to instruct developers on common metrics used for LLM... 15 MIN READ
A larger and smaller cartoon llama on a sunny beach, wearing shirts that say 8B and 4B.
Generative AI

LLM Model Pruning and Knowledge Distillation with NVIDIA NeMo Framework

Model pruning and knowledge distillation are powerful cost-effective strategies for obtaining smaller language models from an initial larger sibling. ... 10 MIN READ
Generative AI

Mistral-NeMo-Minitron 8B Model Delivers Unparalleled Accuracy

This post was originally published August 21, 2024 but has been revised with current data. Recently, NVIDIA and Mistral AI unveiled Mistral NeMo 12B, a leading... 7 MIN READ
Decorative image of two cartoon llamas in sunglasses.
Generative AI

How to Prune and Distill Llama-3.1 8B to an NVIDIA Llama-3.1-Minitron 4B Model

Large language models (LLM) are now a dominant force in natural language processing and understanding, thanks to their effectiveness and versatility. LLMs such... 12 MIN READ