Achieve World-Class Text Retrieval Accuracy for Production-Ready Generative AI

Description

Join us for an insightful webinar to learn how you can improve the accuracy and scalability of text retrieval for production-ready generative AI pipelines. With the newest available NVIDIA NeMo™ Retriever and NVIDIA NIM microservices, developers and IT practitioners can elevate enterprise data insights for several use cases.

Built as an NVIDIA NIM, the NeMo Retriever microservices can be used together, or individually to complement community models, NVIDIA models, or your own custom models, and can be easily customized and deployed anywhere your enterprise data resides. Learn how to achieve the most accurate responses for text Q&A, and deploy wherever your enterprise data lives—cloud, data center, or hybrid.

By joining this webinar, you’ll explore:

• What NVIDIA NeMo Retriever and NIM microservices are, and the applicable use cases.

• How to build enterprise-grade retrieval pipelines wherever your data lives.

• Real-world examples and performance benchmarks.

• How to get started quickly and seamlessly.

• Live Q&A with NVIDIA experts

Speakers: Nicola Sessions, Senior Manager of Enterprise Product Marketing, NVIDIA; Nave Algarici, Generative AI Software Product Manager, NVIDIA.