NeMo
![Decorative image of a person looking at a laptop with an overlay of the NVIDIA NIM logo.](https://developer-blogs.nvidia.com/wp-content/uploads/2024/08/nvidia-nim-blueprints-featured-960x540.jpg)
Aug 28, 2024
Build an Enterprise-Scale Multimodal Document Retrieval Pipeline with NVIDIA NIM Agent 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
![Image of an HGX H200](https://developer-blogs.nvidia.com/wp-content/uploads/2024/08/HGX-H200-tech-blog-1920x1080-1-960x540.jpg)
Aug 28, 2024
Low Latency Inference Chapter 1: Up to 1.9x Higher Llama 3.1 Performance with Medusa on NVIDIA HGX H200 with NVLink Switch
As large language models (LLMs) continue to grow in size and complexity, multi-GPU compute is a must-have to deliver the low latency and high throughput that...
5 MIN READ
![image of a digital human, drug discover and pdf workflow](https://developer-blogs.nvidia.com/wp-content/uploads/2024/08/genai-press-ai-workflows-pr-1920x1080-11-960x540.jpg)
Aug 27, 2024
NVIDIA Launches NIM Agent Blueprints for Generative AI
Now available—NIM Agent Blueprints for digital humans, multimodal PDF data extraction, and drug discovery.
1 MIN READ
![An illustration of a chatbot.](https://developer-blogs.nvidia.com/wp-content/uploads/2024/08/llm-chatbot-purple-960x540.jpg)
Aug 21, 2024
Practical Strategies for Optimizing LLM Inference Sizing and Performance
As the use of large language models (LLMs) grows across many applications, such as chatbots and content creation, it's important to understand the process of...
2 MIN READ
![](https://developer-blogs.nvidia.com/wp-content/uploads/2024/08/community-ai-model-graphic-960x540.jpg)
Aug 21, 2024
Mistral-NeMo-Minitron 8B Foundation Model Delivers Unparalleled Accuracy
Last month, NVIDIA and Mistral AI unveiled Mistral NeMo 12B, a leading state-of-the-art large language model (LLM). Mistral NeMo 12B consistently outperforms...
5 MIN READ
![](https://developer-blogs.nvidia.com/wp-content/uploads/2024/06/ncg-promo-day-0-nemotron-blog-1920x1080-1-960x540.jpg)
Aug 16, 2024
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
![](https://developer-blogs.nvidia.com/wp-content/uploads/2024/08/nvidia-tensorrt-model-optimizer-graphic-960x540.jpg)
Aug 15, 2024
NVIDIA TensorRT Model Optimizer v0.15 Boosts Inference Performance and Expands Model Support
NVIDIA has announced the latest v0.15 release of NVIDIA TensorRT Model Optimizer, a state-of-the-art quantization toolkit of model optimization techniques...
5 MIN READ
![Decorative image of two cartoon llamas in sunglasses.](https://developer-blogs.nvidia.com/wp-content/uploads/2024/08/ngc-genai-llama-visual-featured-960x540.jpg)
Aug 14, 2024
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
![Image of a person standing in front of an AI kiosk in a retail location.](https://developer-blogs.nvidia.com/wp-content/uploads/2024/07/langchain-retail-ai-featured-960x540.png)
Aug 07, 2024
Building AI Agents with NVIDIA NIM Microservices and LangChain
NVIDIA NIM, part of NVIDIA AI Enterprise, now supports tool-calling for models like Llama 3.1. It also integrates with LangChain to provide you with a...
3 MIN READ
![](https://developer-blogs.nvidia.com/wp-content/uploads/2024/08/cube-circular-arrows-960x540.png)
Aug 06, 2024
Accelerating Hebrew LLM Performance with NVIDIA TensorRT-LLM
Developing a high-performing Hebrew large language model (LLM) presents distinct challenges stemming from the rich and complex nature of the Hebrew language...
8 MIN READ
![](https://developer-blogs.nvidia.com/wp-content/uploads/2024/07/monitor-chat-abstract-graphic-1-960x540.png)
Aug 05, 2024
Securing Generative AI Deployments with NVIDIA NIM and NVIDIA NeMo Guardrails
As enterprises adopt generative AI applications powered by large language models (LLMs), there is an increasing need to implement guardrails to ensure safety...
6 MIN READ
![Image of two people sitting in their cubicles with speech recognition visualizations in the background.](https://developer-blogs.nvidia.com/wp-content/uploads/2024/03/asr-parakeet-model-featured-960x540.jpg)
Aug 05, 2024
Developing Robust Georgian Automatic Speech Recognition with FastConformer Hybrid Transducer CTC BPE
Building an effective automatic speech recognition (ASR) model for underrepresented languages presents unique challenges due to limited data resources. In...
9 MIN READ
![](https://developer-blogs.nvidia.com/wp-content/uploads/2024/07/laptop-shopping-online.jpg)
Aug 01, 2024
Deliver Personalized Retail Experiences with an AI-Powered Shopping Advisor
Imagine being able to put your best sales associate in front of every customer for every interaction. Your best sales associate offers product recommendations...
4 MIN READ
![A data curator designed for dataset preparation and enhanced LLM performance.](https://developer-blogs.nvidia.com/wp-content/uploads/2024/07/llm-nemo-data-curator-featured-960x540.png)
Jul 31, 2024
Curating Custom Datasets for LLM Parameter-Efficient Fine-Tuning with NVIDIA NeMo Curator
In a recent post, we discussed how to use NVIDIA NeMo Curator to curate custom datasets for pretraining or continuous training use cases of large language...
11 MIN READ
![A connected grid of AI applications, optimizing RAG pipelines.](https://developer-blogs.nvidia.com/wp-content/uploads/2024/07/rag-rerank-featured-960x540.png)
Jul 30, 2024
Enhancing RAG Pipelines with Re-Ranking
In the rapidly evolving landscape of AI-driven applications, re-ranking has emerged as a pivotal technique to enhance the precision and relevance of enterprise...
8 MIN READ
![An illustration representing text retrieval pipelines for RAG.](https://developer-blogs.nvidia.com/wp-content/uploads/2024/07/Text-Retrieval-Pipelines-RAG-960x540.png)
Jul 23, 2024
Develop Production-Grade Text Retrieval Pipelines for RAG with NVIDIA NeMo RetrieverÂ
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