Automate and optimize the configuration of radio access network (RAN) parameters using agentic AI and a large language model (LLM)-driven framework.
Connect AI applications to multimodal enterprise data with a scalable retrieval augmented generation (RAG) pipeline built on highly performant, industry-leading NIM microservices, for faster PDF data extraction and more accurate information retrieval.
Optimized SLM for on-device inference and fine-tuned for roleplay, RAG and function calling
A general-purpose LLM with state-of-the-art performance in language understanding, coding, and RAG.