What is baseline?
A standard or reference point used for comparison
baseline explained in plain English
A baseline is a starting point or a reference level that is used to measure the performance or progress of something, such as a model or a system, over time. It provides a basis for comparison, allowing us to evaluate how much something has improved or changed.
Analogy
Think of a baseline like a starting line in a race. Just as the starting line provides a reference point for measuring how far each runner has traveled, a baseline provides a reference point for measuring how much a model or system has improved or changed.
Example
For example, a company might use a baseline to measure the performance of a new chatbot, comparing its performance to that of a previous version or to a human customer support agent.
How is baseline used?
Baselines are used in AI and machine learning to evaluate the performance of models and systems, and to measure the effectiveness of changes or updates. They are often used to compare the performance of different models or systems, or to track the progress of a single model or system over time.
Common misconceptions about baseline
History
The concept of a baseline has been used in various fields, including science, engineering, and economics, for many years. In AI and machine learning, the use of baselines has become increasingly important as the field has grown and developed.
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