t cht lk larger organizations . Right now , most AI projects are failing or are behind due to tool complexity . Having a unified platform greatly simplifies the variability in the tech stack .
t cht lk larger organizations . Right now , most AI projects are failing or are behind due to tool complexity . Having a unified platform greatly simplifies the variability in the tech stack .
Enables More Accurate AI : Companies need their AI applications to generate output based on their enterprise data , relevant to their business domain , and to learn from their customers ’ interactions . NVIDIA NeMo Customizer and NeMo Evaluator simplify training or fine-tuning LLMs , SLMs , embedding models , and reranking models while DataStax ’ s AI application development platform gives developers the dynamic control of search and retrieval that is necessary to tailor GenAI to individual customers .
Key pieces in the Platform include :
DataStax Langflow platform , including an application development environment that simplifies creating and understanding complex logic flows via an intuitive visual interface . companies ’ AI applications to have the context of their enterprise systems and data in order to provide the most relevant results .
Multimodal PDF Data Extraction : A blueprint that enables ingestion of unstructured and complex enterprise data sources such as PDFs to be ready for use for AI applications using retrieval-augmented generation ( RAG ).
NeMo Curator : Data-curation tool that helps developers create large , high-quality datasets for pretraining or fine-tuning LLMs or embedding models .
NeMo Customizer : High-performance , scalable microservice that simplifies fine-tuning and alignment of LLMs for domain-specific use cases . This reduces dependencies on off-the-shelf , broad LLMs and enables increased accuracy at lower cost .
NeMo Evaluator : Automates evaluation of customer generative AI models and LLMs for accuracy .
NVIDIA AI Enterprise components , including :
NeMo Guardrails : Easily add programmable guardrails to LLM-based conversational applications .
NeMo Retriever : Enable organizations to seamlessly connect custom models to diverse business data and deliver highly accurate responses . This is crucial for
NIM Agent Blueprints : A catalog of pretrained , customizable AI workflows that equip developers with a full suite of software for building and deploying
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