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 production-ready solution for building agentic workflows. NIM microservices provide the best performance for open-source models such as Llama 3.1 and are available to test for free from NVIDIA API Catalog in LangChain applications.
]]>Whether you’re working on-premises or in the cloud, NVIDIA NIM microservices provide enterprise developers with easy-to-deploy optimized AI models from the community, partners, and NVIDIA. Part of NVIDIA AI Enterprise, NIM offers a secure, streamlined path forward to iterate quickly and build innovations for world-class generative AI solutions. Using a single optimized container…
]]>Data scientists, AI engineers, MLOps engineers, and IT infrastructure professionals must consider a variety of factors when designing and deploying a RAG pipeline: from core components like LLM to evaluation approaches. The key point is that RAG is a system, not just a model or set of models. This system consists of several stages, which were discussed at a high level in RAG 101…
]]>Large language models (LLMs) have impressed the world with their unprecedented capabilities to comprehend and generate human-like responses. Their chat functionality provides a fast and natural interaction between humans and large corpora of data. For example, they can summarize and extract highlights from data or replace complex queries such as SQL queries with natural language.
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