neuron-explorer
Steering-first neuron explorer for Qwen3.5-4B: push every MLP neuron, keep every rollout, browse the results
翻譯準備中
梯度下降,但參數是代理——一個平行、非同步的框架,用於自我演化的代理(技能、提示、工具)。差異即為梯度;聚合器則是最佳化器。
AI 翻譯
Gradient descent, but the parameters are agents — a parallel, asynchronous framework for self-evolving agents (skills, prompts, harnesses). Diffs are the gradients; the aggregator is the optimizer.
取自儲存庫 README
正在載入完整 README。 以下為已儲存的摘錄。
Gradient descent — but the parameters are agents. A parallel, asynchronous
framework for self-evolving agents (skills, prompts, harnesses) where diffs
are the gradients and the aggregator is the optimizer.
N workers propose edits to a shared artifact in parallel; a barrier-free
aggregator merges them into one version-controlled library. Serial
self-improvement is bounded at one accepted change per iteration, and merging
concurrent edits is the attempt to lift that bound.檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
Gradient descent — but the parameters are agents. A parallel, asynchronous
framework for self-evolving agents (skills, prompts, harnesses) where diffs
are the gradients and the aggregator is the optimizer.
N workers propose edits to a shared artifact in parallel; a barrier-free
aggregator merges them into one version-controlled library. Serial
self-improvement is bounded at one accepted change per iteration, and merging
concurrent edits is the attempt to lift that bound.檢視完整 README ↗