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active_genie

v0.30.8RubyGems· Ruby

ActiveGenie is an enabler for creating reliable GenAI features, offering powerful, model-agnostic tools across any provider. It allows you to settle subjective comparisons with a `ActibeGenie::Comparator` module that stages a political debate, get accurate scores from an AI jury using `ActiveGenie::Scorer`, and rank large datasets using `ActiveGenie::Ranker`'s tournament-style system. This reliability is built on three core pillars: - Custom Benchmarking: Testing for consistency with every new version and model update. - Reasoning Prompting: Utilizing human reasoning techniques (like debate and jury review) to control a model's reasoning. - Overfitting Prompts: Highly specialized, and potentially model-specific, prompt for each module's purpose.

The verdict
Aging — last published 6 months ago — check before adopting. Check the repo for activity before adopting.
Check the repo for activity before adopting.
Live from the RubyGems registry · derived rules, not AI
How it scores
MaintenanceAging
PopularityNiche
SecurityClean
LicensePermissive
DepsZero deps
Maintenance
Last published 6 months ago — check before adopting.
Popularity
78 downloads / week
Security
No known advisories for this version (OSV).
License
Apache-2.0
Dependencies
No runtime dependencies
Recent releases
  • 0.30.86 months ago
  • 0.30.39 months ago
  • 0.30.110 months ago
  • 0.30.010 months ago
  • 0.29.110 months ago
  • 0.29.011 months ago
  • 0.28.211 months ago
  • 0.27.111 months ago
active_genie — ActiveGenie is an enabler for creating reliable GenAI features, offering powerful, model-agnostic tools across any provider. It allows you to settle subjective comparisons with a `ActibeGenie::Comparator` module that stages a political debate, get accurate scores from an AI jury using `ActiveGenie::Scorer`, and rank large datasets using `ActiveGenie::Ranker`'s tournament-style system. This reliability is built on three core pillars: - Custom Benchmarking: Testing for consistency with every new version and model update. - Reasoning Prompting: Utilizing human reasoning techniques (like debate and jury review) to control a model's reasoning. - Overfitting Prompts: Highly specialized, and potentially model-specific, prompt for each module's purpose. (Ruby / RubyGems) · Modules