General skillAI and agent development
cli-trainer
Guide no-code model fine-tuning on Baidu AI Studio from data checks to validation.
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- Updated Jul 6, 2026
Guide no-code model fine-tuning on Baidu AI Studio from data checks to validation.
CLI Trainer guides a no-code fine-tuning run on Baidu AI Studio. It lists allowed models, checks dataset formats, recommends framework-specific hyperparameters, submits the job, polls its status, opens TensorBoard when available, and summarizes loss and artifact usability. It supports ERNIE through PaddleFormers and several open models through LlamaFactory, but requires Python, requests, an AI Studio access token, and network access to the training service.
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Turn detailed business processes into reusable, tested AI skills.
Define portable task-specific sub-agents in Markdown for several coding assistants.
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Public GitHub facts last synced Jul 10, 2026.
Find, create, run, and improve agent skills from real execution feedback.
Reduce LLM token use by pruning context, caching prompts, and routing models.