Evaluation Driven AI-System Development (EDD)

An Evaluation Driven AI-System Development (EDD) is a AI development methodology (e.g. ML dev. methodology) that incorporates evaluation benchmarks into the software development cycle (enabling principled iterations and performance comparisons against a baseline).

• Context:
  • It can be related to Test Driven Development (TDD), but with an emphasis ...
  • It can involve setting up specific benchmarks for evaluating the performance and accuracy of software or models.
  • It can be learned from various resources, including webinars, tweets, and educational materials, as experts like W. Glance recommended.
  • It can aim to enhance accuracy, identify weaknesses, guide model selection, ensure robustness, and align software with user expectations.
  • It can include a structured implementation process, such as a four-step method using the L Index evaluation module, encompassing dataset generation, evaluator definition, batch evaluator running, and result comparison.
  • It can enable experimentation with different models and techniques.
  • It can offer benefits in improving various aspects of development, from model selection to aligning with user expectations and facilitating continuous development loops.
  • It can be applied in complex scenarios, such as multi-document pipelines, demonstrating its utility in challenging real-world applications.
  • It can foster interactive Q&A and community engagement, especially in collaborative platforms like Discord.
  • It can encourage the exploration of new development methodologies and continuous learning through community support and engagement.
  • ...
• Example(s):
  • A development team applying EDD to compare the performance of different natural language processing models in a text classification task.
  • A webinar or workshop demonstrating the setup of evaluation benchmarks using notebooks, with participants sharing links for further exploration.
  • An interactive Q&A session in a webinar focused on EDD, promoting community engagement and knowledge sharing.
  • ...
• Counter-Example(s):
  • A software development approach that exclusively relies on traditional testing methods without integrating evaluation benchmarks.
  • A project in software development that neglects the importance of performance comparison against established benchmarks or baseline models.
• See: Software Development Methodology, Test Driven Development (TDD), Model Evaluation, Performance Benchmarking.

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