Metrics

Evaluating Multi-Step LLM-Generated Content: Why Customer Journeys Require Structural Metrics

generate customer journeys that appear smooth and fascinating, but evaluating whether these journeys are structurally sound stays difficult for current methods. This text introduces Continuity, Deepening, and Progression (CDP) — three deterministic, content-structure-based metrics for evaluating...

Why it’s critical to maneuver beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those...

TDS Newsletter: How you can Design Evals, Metrics, and KPIs That Work

Never miss a brand new edition of , our weekly newsletter featuring a top-notch number of editors’ picks, deep dives, community news, and more. ‘Tis the season for data science teams across industries to crunch...

Framework for Success Metrics Questions | Facebook Groups Success Metrics

The framework that may allow you to ace the Success Metrics Questions and standoutAs I equipped for my Product Data Scientist interviews, I scoured the net for suggestions and frameworks on handling the “Success...

Top Evaluation Metrics for RAG Failures

If you've been experimenting with large language models (LLMs) for search and retrieval tasks, you've likely come across retrieval augmented generation (RAG) as a method so as to add relevant contextual information to LLM...

The Two Metrics That Reveal True Data Dispersion Beyond Standard Deviation

STATISTICSA guide to computing and interpreting Coefficient of Variation and Quantile Coefficient of DispersionWe’ve all heard the saying, “Variety is the spice of life,” and in data, that variety or diversity often takes the...

Evaluating the Performance of Retrieval-Augmented LLM Systems Retrieval-Augmented Large Language Models Embedding 101 1/ Evaluation of Embedding-based Context Retrieval 2/ Evaluation of Large Language Models Where can we see...

Large Language Models (LLMs) that enable AI chatbots like ChatGPT proceed to realize popularity as more use cases arise for generative AI. Particularly, Retrieval-Augmented Generation (RAG) systems proposed in 2021, and popularized by tools...

Evaluating the Performance of Retrieval-Augmented LLM Systems Retrieval-Augmented Large Language Models Embedding 101 1/ Evaluation of Embedding-based Context Retrieval 2/ Evaluation of Large Language Models Where will we see...

Large Language Models (LLMs) that enable AI chatbots like ChatGPT proceed to achieve popularity as more use cases arise for generative AI. Particularly, Retrieval-Augmented Generation (RAG) systems proposed in 2021, and popularized by tools...

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