Benchmarking of AI Tools

Benchmarking is the process of comparing the performance of different AI models or systems using a predefined set of metrics. The process enables to assess the progress and determine their relative performance levels. AI firms frequently employ benchmarks as a marketing strategy to position their offerings as superior to those of competitors. These benchmarks are based on the indicators of technical excellence, particularly in the realm of large language models.

AI benchmarks evaluate the subjective parameters like accuracy, truthfulness, relevance, context and speed. Over time, numerous AI benchmarks have emerged to gauge distinct functionalities such as question-answering, reasoning, coding, text generation, and image generation.

Benchmarking helps developers identify areas for improvement and track progress over time. It ensures transparency, promote responsible development, and ultimately, help us harness the full potential of AI for good.