Jordan Waverly

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Training Highly Accurate LLMs with Zyda-2 5T-Token Dataset

Train Highly Accurate LLMs with Zyda-2 Open-source datasets have significantly democratized access to high-quality data, lowering the barriers of entry for developers and researchers to...

Simplify AI Application Development with NVIDIA Cloud Native Stack

CNS Overview CNS provides a reference architecture that includes various versioned software components tested together to ensure optimal operation, including the following: * NVIDIA GPU Operator,...

Small Yet Mighty: IBM’s New Generative AI Models

Introducing IBM Granite Generation 3 Optimized Performance with Speculative Decoding IBM has released the third generation of IBM Granite, a collection of open language models and...

GPU-Powered Sound-to-Text Innovation

Automated Audio Captioning: A Multi-Agent Approach to Enhance Performance Introduction The Automated Audio Captioning (AAC) task centers around generating natural language descriptions from audio inputs. Given...

Scaling LLMs with NVIDIA Triton and NVIDIA TensorRT-LLM Using Kubernetes

Optimizing and Deploying Large Language Models with NVIDIA TensorRT-LLM and Triton Inference Server Hardware and software requirements For optimizing and deploying your models, you need to...

Building AI-Powered Customer Service with NVIDIA AI Blueprint

Smarter AI Virtual Assistants for Exceptional Customer Service In today's fast-paced business environment, providing exceptional customer service is no longer just a nice-to-have—it's a necessity....

Content Moderation and Safety Checks with NVIDIA NeMo Guardrails

Content Moderation in Retrieval-Augmented Generation (RAG) Applications Content moderation has become essential in RAG applications powered by generative AI, given the extensive volume of user-generated...

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