GitHub
design-experiment
Plan LLM fine-tuning and evaluation experiments. Use when the user wants to design a new experiment, plan training runs, or create an experiment_summary.yaml file.
niznik-dev AI Skills
GitHub ↗Explorez les skills IA publiés de niznik-dev et consultez leurs instructions source.
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Skills indexés
6Étoiles des dépôts des skills indexés
48Forks du dépôt
0Moyenne des étoiles par skill indexé
8Les étoiles d’un dépôt peuvent se répéter entre ses skills.
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GitHub
create-meeting-agenda
Create weekly software meeting agenda in the wiki repo.
GitHub
summarize-experiment
Create a lightweight summary of experiment results from a completed (fine-tuned and evaluated) experiment. Use after run-experiment to capture key metrics from the experiment in textual form.
GitHub
scaffold-experiment
Set up complete experimental infrastructure for all runs in a designed experiment. Orchestrates parallel generation of fine-tuning configs (via scaffold-torchtune) and evaluation configs (via scaffold-inspect)....
GitHub
run-experiment
Execute the complete experimental workflow - model optimization followed by evaluation - for all runs in a scaffolded experiment. Use after scaffold-experiment to submit jobs to SLURM.
GitHub
create-inspect-task
Create custom inspect-ai evaluation tasks through interacted, guided workflow.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.