Category: Benchmarking
-
Why Task-Based Evaluations Matter
Why Task-Based Evaluations Matter This article is adapted from a lecture series I gave at Deeplearn 2025: From Prototype to Production: Evaluation Strategies for Agentic Applications. Task-based evaluations, which measure an AI system’s performance in use-case-specific, real-world settings, are underadopted and understudied. There is still an outsized focus in AI literature on foundation model benchmarks.…
-
How to Benchmark Classical Machine Learning Workloads on Google Cloud
How to Benchmark Classical Machine Learning Workloads on Google Cloud Harnessing CPUs for Practical, Cost-Effective Machine Learning The post How to Benchmark Classical Machine Learning Workloads on Google Cloud appeared first on Towards Data Science. Ehssan Khan Go to original source
-
Revisiting Benchmarking of Tabular Reinforcement Learning Methods
Revisiting Benchmarking of Tabular Reinforcement Learning Methods Introducing a modular framework and improving model performance. The post Revisiting Benchmarking of Tabular Reinforcement Learning Methods appeared first on Towards Data Science. Oliver S Go to original source
-
How To Build a Benchmark for Your Models
How To Build a Benchmark for Your Models I’ve been working as a data science consultant for the past three years, and I’ve had the opportunity to work on multiple projects across various industries. Yet, I noticed one common denominator among most of the clients I worked with: They rarely have a clear idea of…