Since the release of ChatGPT in November 2022, the capabilities of large language models (LLMs) have surged, and the number of available models has grown exponentially. With this expansion, LLMs now vary widely in cost, performance, and specialization. For example, straightforward tasks like text summarization can be efficiently handled by smaller, general-purpose models. In contrast…
]]>With the release of NVIDIA AgentIQ—an open-source library for connecting and optimizing teams of AI agents—developers, professionals, and researchers can create their own agentic AI applications. This tutorial shows you how to develop apps in AgentIQ through an example of AI code generation. We build a test-driven coding agent using LangGraph and reasoning models to scale test-time computation.
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