@DAIEvolutionHub: MICROSOFT JUST OPEN-SOURCED A WAY TO “TRAIN” AI AGENTS WITHOUT TOUCHING MODEL WEIGHTS SkillOpt treats a simple markdown…
Summary
Microsoft open-sourced SkillOpt, a method that treats markdown skill files like neural network parameters to train AI agents without modifying model weights, using learning rates, validation checks, minibatches, and epochs.
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🚨 MICROSOFT JUST OPEN-SOURCED A WAY TO “TRAIN” AI AGENTS WITHOUT TOUCHING MODEL WEIGHTS
SkillOpt treats a simple markdown skill file like neural network parameters and optimizes it with learning rates, validation checks, minibatches, and epochs.
The result? Agents get smarter https://t.co/ZBVU73VoGJ
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SkillOpt treats markdown skill files as trainable parameters with proper optimization machinery
A new paper formalizes skill optimization for agents by treating markdown skill files as trainable parameters, using bounded edits validated against holdout sets. The approach transfers well between models and improves performance on procedural benchmarks.