EP250: Compiling agent workflows into model weights episode artwork

EPISODE · Jun 16, 2026 · 19 MIN

EP250: Compiling agent workflows into model weights

from Learning GenAI via SOTA Papers · host Yun Wu

Title: Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less CostSource: http://arxiv.org/abs/2605.22502v1Summary:This work proposes the 'subterranean agent' paradigm, which replaces external orchestration frameworks by compiling agentic workflows directly into the model's weights via fine-tuning. This foundational shift addresses the cost and latency bottlenecks of frontier-model prompting while providing a more efficient and private alternative for procedural task execution.

Episode metadata supplied by the publisher feed · Published Jun 16, 2026

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EP250: Compiling agent workflows into model weights

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