How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?
Recent autonomous machine learning engineering (MLE) agents have made significant progress on public leaderboards. Often motivated by progress stagnation over long-horizon cycles and limited Large Language Model (LLM) primitives, modern MLE agents are deployed on top of increasingly elaborate machinery: multi-agent orchestrators, dedicated retrieval subagents, and more. While such harnesses expand, the use of...
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Qué ocurrió
Recent autonomous machine learning engineering (MLE) agents have made significant progress on public leaderboards. Often motivated by progress stagnation over long-horizon cycles and limited Large Language Model (LLM) primitives, modern MLE agents are deployed on top of increasingly elaborate machinery: multi-agent orchestrators, dedicated retrieval subagents, and more. While such harnesses expand, the use of...
Por que importa
The development may change operating conditions or market expectations around AI. Further confirmation and measurable outcomes matter.
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1 articulos · 1 informe original · 1 independientes
- Apple Machine Learning ResearchFuente primaria · Respalda · EN · 100%How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering? ↗
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- How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering? Observado
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