Create Scoring Data

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Scoring algorithms

A scoring algorithm serves as an AI-powered tool for AI matching. It's directly deployable to create recruiter or talent copilots in the AI studio.

1. Standard Scoring Algorithms:

Our default scoring algorithms are rigorously trained on diverse datasets to ensure :

• 💪High performance: Human level matching capabilities at low cost.
• 🎯Objectivity: Minimal Bias for maximal fairness considerations
• 🔄Adaptability: Easily adjusts to match specific organizational needs and preferences.

2. Fine-Tuning for Optimal Performance:

Every company is unique, so we've implemented algorithm fine-tuning. This process allows you to adjust and improve our algorithms based on your specific dataset distribution.

Fine-tuning creates an enhanced, private version of the default algorithms, capturing the nuances of each organization. The trainable algorithms have the following features :

• 🎛️Fine-tuning: Easily retrainable with low quatities of data.
• 🧠Minimal knowledge loss: Fine-tuning doesn't decrease the previous knowledge of the default scoring algorithms.

3. Viewpoints:

Scoring algorithms are designed to function for multiple audiences. Each audience has its own viewpoint and objectives: