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From One Tool to a Plan — Multi-Step Agents with NVIDIA NIM
Part 5 let the model pick one tool. Real agents chain tools — search, then calculate, then answer. This post builds the ReAct loop (Reason + Act + Observe) on NVIDIA NIM and prints the trace so you can watch the model plan. Still no framework. Part 6 of the series.
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AI Agents Explained: the Thought-Action-Observation Loop
A chatbot answers in one shot. An AI agent runs in a loop, uses tools, and acts — Thought → Action →...
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From One Tool to a Plan — Multi-Step Agents with NVIDIA NIM
Part 5 let the model pick one tool. Real agents chain tools — search, then calculate, then answer. This post builds the ReAct loop (Reason + Act + Observe) on NVIDIA NIM and…
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Giving Your Agent a Memory — Multi-Turn Conversations with NVIDIA NIM
Your agent answers one question and forgets. Ask "how many days until that?" and it has no idea what "that" is. This post adds memory — lift the messages list into a session…