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Few things derail a project faster than a team relying completely on guesses and instinct. It doesn’t matter whether you’ve got a team doing market research for a new product or yo...
Most teams I talk to have "evals." I ask them where the evals run. The answer is almost always the same: a notebook, a dashboard, a spreadsheet someone updates after a bad week. Th...
According to a 2024 Gallup study, 80 percent of employees who receive meaningful feedback in a given week say they’re fully engaged at work. That’s the upside. The downside? Mos...
We need to reconsider oral evaluations.
In this article, you will learn how to evaluate LLM applications using the three dominant open-source frameworks — RAGAS, DeepEval, and Promptfoo — and why...
This article is part 4 of a 4-part series on 'Engineering Closed-Loop Graph-RAG Systems.' The simplest method to evaluate a RAG system is by asking yourself if your generated answe...
In Supervised learning, we often indirectly optimize the outcome by seeing how well the machine learning model scores on the training data…Continue reading on Medium »
Most LLM evaluation systems rely on vague scoring and human judgment disguised as metrics. I built a lightweight evaluation layer in pure Python that turns LLM outputs into reprodu...
This closes out the series' capstone: the multi-agent customer support system built across Parts 6-9, now hardened with evaluation, cost governance, and observability so it can act...
1. What are AI evaluations, and why are they important?Continue reading on Medium »
Part 2 of a series on building production AI on .NET. Part 1 covered what evals are and the Analyze → Measure → Improve lifecycle. This post is about the step everyone wants to ski...
Having been in academics for quite some time, I have seen fads come, go and stick. Way back in 2004 I witnessed the arrival of assessment at my university. WhileRead More
White Paper A Critical Evaluation of Ediscovery Vendors Know the questions to ask ediscovery software vendors
Вы меняете системный промпт, надеетесь, что все заработало и деплоите фичу в продакшен. На следующее утро прилетает жалоба: агент выдумал дедлайн или проигнорировал важную инструкц...
Having baseline data is critical when monitoring athletes before and after TBI.
Most enterprise analytics evaluations are really just dashboard comparisons. That's...
Security Operations Center evaluation often collapses into counting activity: alerts processed, cases closed, and tools deployed. Those numbers are easy to collect but frequently m...
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Career exploration is often tracked through appointments, assessments, and event attendance. This guide shows career centers how to recognize real progress through student language...
Editor’s note: Some of the most interesting questions in AI are being asked by information theoreticians, around how to provide context to an emerging class of AI agents. A few wee...
Choosing an LMS for higher education? Use this practical framework to evaluate integrations, accessibility, reporting, faculty adoption, student experience, and governance. This po...
A few months ago, I spoke with two researchers who recently completed an evaluation of a fatherhood program that uses 24:7 Dad® as its foundation. They were planning to submit a pr...
This tutorial shows you how to run an offline LLM evaluation on the RAG-grounded support agent you built in the Agent Graphs tutorial, using LaunchDarkly AI Configs, the Datasets f...
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