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About agent-platform-tuning

A

agent-platform-tuning

Agent Platform Model Tuning

Agent Platform tuning is an agent skill for fine-tuning large language models on Google Cloud Agent Platform, for both open models and Gemini models. It describes the whole lifecycle of a tuning project, from setting up the environment and preparing data, through job configuration and monitoring, to deploying the tuned model. A workflow decision tree guides the agent through the choices. The first check is whether you have provided the Google Cloud project and region, since those are needed before anything runs. From there the skill branches according to the model type and the stage you are at. The skill is intended for fine-tuning with the Agent Platform tuning service, and it says not to use it for training models from scratch, where another route applies. It also points to a separate skill for managing tuning jobs once they are running. It is useful for teams that have a dataset of examples and want to adapt a model to their domain on managed infrastructure. It is published by Google on skills.sh under the google skills repository, with about 21.3K stars and about 8.2K installs. The skills.sh listing shows Gen Agent Trust Hub and Socket passing, and Snyk with a Warn result.

View agent-platform-tuningAll AI Skills apps
Price
Free
Made by
google
Category
AI Skills
Website
github.com/google/skills/agent-platform-tuning