Retrieval Augmented Generation (RAG)
Sep 04, 2024
Hands-On Training at NVIDIA AI Summit in Washington, DC
Immerse yourself in NVIDIA technology with our full-day, hands-on technical workshops at our AI Summit in Washington D.C. on October 7, 2024.
1 MIN READ
Aug 28, 2024
NVIDIA NIM Agent Blueprint: Build an Enterprise-Scale Multimodal PDF Data Extraction Pipeline
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
Aug 27, 2024
Enhancing RAG Applications with NVIDIA NIM
The advent of large language models (LLMs) has significantly benefited the AI industry, offering versatile tools capable of generating human-like text and...
10 MIN READ
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
Aug 22, 2024
Jamba 1.5 LLMs Leverage Hybrid Architecture to Deliver Superior Reasoning and Long Context Handling
AI21 Labs has unveiled their latest and most advanced Jamba 1.5 model family, a cutting-edge collection of large language models (LLMs) designed to excel in a...
4 MIN READ
Aug 20, 2024
Hackathon: Build Groundbreaking Generative AI Projects Using NVIDIA AI Workbench
Hosted by Dell and NVIDIA, demonstrate how AI Workbench can be used to build and deliver apps for a wide range of tasks and workflows.
1 MIN READ
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
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
Aug 02, 2024
Revolutionizing Data Center Efficiency with the NVIDIA Grace Family
The exponential growth in data processing demand is projected to reach 175 zettabytes by 2025. This contrasts sharply with the slowing pace of CPU performance...
16 MIN READ
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
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
Jul 29, 2024
Access to NVIDIA NIM Now Available Free to Developer Program Members
The ability to use simple APIs to integrate pretrained AI foundation models into products and experiences has significantly increased developer usage of LLM...
4 MIN READ
Jul 23, 2024
Build an Agentic RAG Pipeline with Llama 3.1 and NVIDIA NeMo Retriever NIMs
Employing retrieval-augmented generation (RAG) is an effective strategy for ensuring large language model (LLM) responses are up-to-date and not...
7 MIN READ
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
Jul 22, 2024
Gets Hands-On Training at SIGGRAPH 2024
Complimentary trainings on OpenUSD, Digital Humans, LLMs and more with hands-on labs for Full Conference and Experience attendees.
1 MIN READ
Jul 11, 2024
Optimize AI Model Performance and Maintain Data Privacy with Hybrid RAG
The rapidly evolving field of generative AI is focused on building neural networks that can create realistic content such as text, images, audio, and synthetic...
7 MIN READ