Unverified50% confidenceFactExact time
SkillOpt replaces "parameter updates" in the training loop with modifications to skill definitions, and replaces the "loss function" with task-oriented evaluation metrics.
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Long-term
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9/24/2026
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Unverified智能体的偏好受训练数据、提示词、版本迭代等多重因素影响，今天有效的优化手段可能在下一次模型更新后失效72% similarUnverifiedThe core process of training a model is to iteratively update parameters in the direction of the loss function's gradient via gradient descent.68% similarUnverifiedThe skill encapsulation approach adopted by sciagent-skills more closely follows the inference-stage dynamic injection path, with the advantage that the skill library can be iteratively updated independently without retraining the model.68% similarUnverifiedSkill injection is a "behavioral constraint" that does not change what the model knows but changes how the model acts, distinguishing it from fine-tuning (retraining model weights) and RAG (retrieving factual information from an external knowledge base).66% similarUnverifiedReal-time dashboards typically present dynamic metrics during the training process, including loss curves, reward model scores, phased benchmark results, and compute resource utilization.66% similar
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