Social Media Ideas for Evaluation

Evals: How You Measure an LLM That Won’t Give the Same Answer Twice

An eval is a systematic measurement of an AI system’s behavior. Not a test that passes or fails, a measurement that returns a number with…Continue reading on Data Science Collectiv...

G-Eval: How It Scores LLM Output, and What Its Data Shows

G-Eval scores LLM output with model-written evaluation steps and a probability-weighted score. See how it works, a recount of its SummEval data, and its limits.

Evaluating LLM Relevancy with DeepEval [Testμ 2026]

Monika Sharma of Salesforce on DeepEval as pytest for LLMs, the RAG and safety metric taxonomy, choosing thresholds, and where eval tests fit in the pyramid.

150 Employee Evaluation Examples & Comments for Every Rating

Strong employee evaluation examples can help you turn vague performance review comments into clear, useful feedback. These detail what an employee has done, the impact it’s had on...

The eval pyramid

RAG Evaluation Metrics: Formulas and a Worked Example

RAG evaluation metrics with formulas and a worked example: precision@k, recall@k, MRR, nDCG, faithfulness and answer relevancy, plus why frameworks disagree.

Argumentation and Evaluation Review Exercise

Complete the 12 sentences below. Choose the best answer for each one.

Тестирование LLM‑фичи: можно ли верить своему eval

Eval показывает 96% качества, тесты проходят, а после релиза LLM‑ассистент допускает критическую ошибку. Проблема может скрываться в самой системе оценки, которая пропускает опасны...

How to Build Effective Evals for AI Agents

Learn how to build effective evals for AI agents, from designing clear tasks and choosing the right graders to building reliable eval harnesses and tracking changes over time.

The Two Cheapest Agent Eval Signals Both Fail

Originally appeared on OmbuLabs.ai.Once a team stops trusting leaderboards, the next move is usually to build an evaluation of its own. We’ve argued before that benchmark scores ar...

Why Agents Need Custom Evals and How to Create Them [Testμ 2026]

Haritha Sreedharan Nair on building your own agent benchmark: grade the trajectory rather than the pass rate, and write evals from the user's job.

LLM Benchmarks vs Evals: What Each One Actually Measures

LLM benchmarks score general model capability, evals score your application. See what each can gate, where benchmarks break, and how to build an eval suite.

Traces to Insights: Evaluating LLM Apps

Originally appeared on OmbuLabs.ai.Tracing helps answer an important question: what happened? But knowing what happened isn’t the same as knowing whether it was any good. That’s wh...

Eval-Driven Development: Write the Eval Before the Change

Eval-driven development writes the eval, its pass bar and its guards before you change a prompt, model or agent. See the red-then-green loop and a worked gate.

Asking the Right Questions: The Evaluation of Ediscovery Vendors [Part I]

Summary Asking the Right Questions When Evaluating Ediscovery Vendors...

What Are AI Evals? How They Work and How to Run One

AI evals score AI outputs against a fixed dataset instead of asserting pass or fail. Learn the four parts of an eval, the main types, and how to gate a release.

How to Write an Effective Employee Evaluation

Discover essential tips and techniques on how to write an evaluation for an employee that is constructive, fair, and beneficial for both the employee and the organization. Enhance...

Vizra Evals and Pest's Evals Plugin: When You Want Which

If you are testing AI agents in Laravel, there are now two packages with "evals" in the description, and the obvious question is whether you need both. Short answer: probably not,...

Why Model Evaluation Matters: A Production Case Study

A model was already live, forecasting rain a day ahead. It looked done. Evaluating it properly is what showed it wasn’t.Continue reading on Medium »

11 Best LLM Evaluation Tools for September 2026

11 LLM evaluation tools compared for 2026: what each one measures, where it fits in the lifecycle, and how to pick one for your architecture and privacy needs.