𝕏xSE first seen 9 h ago, last 9 h ago, peak #32
Decision Models Speed Up and Cut Costs for AI Agents
Decision models are being put forward as a way to make AI agents faster and cheaper to run. Instead of relying on large language models for every step, agents can delegate routine choices to smaller, purpose-built decision models, cutting compute costs and response times. The approach is drawing attention among developers looking to make agentic systems more efficient at scale.
Why now: Growing interest in reducing the cost and latency of running AI agents is driving discussion of decision models as an optimisation technique.
AI agentsdecision modelslarge language models
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