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A Geometric Method to Spot Hallucinations Without an LLM Judge
Imagine a flock of birds in flight. There’s no leader. No central command. Each bird aligns with its neighbors—matching direction, adjusting speed, maintaining...
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No, la IA no programa. Y los que te dicen lo contrario te están vendiendo humo
Una denuncia sobre el hype de la IA en programación > Hace unas semanas, tras ver el enésimo video de un “experto” afirmando que “Gemini 3 Pro revoluciona la a...
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How to Use Synthetic Data to Evaluate LLM Prompts: A Step-by-Step Guide
Overview The deployment of Large Language Models LLMs in production has shifted the bottleneck of software engineering from code syntax to data quality. - In t...
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LLM evaluation guide: When to add online evals to your AI application
'Original articlehttps://launchdarkly.com/docs/tutorials/when-to-add-online-evals – published November 13, 2025
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Low-Code LLM Evaluation Framework with n8n: Automated Testing Guide
Introduction In today’s fast‑paced technological landscape, ensuring the quality, accuracy, and consistency of language models is more critical than ever. At t...
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How to use System prompts as Ground Truth for Evaluation
The Problem: Lack of Clear Ground Truth Most teams struggle to evaluate their AI agents because they don’t have a well‑defined ground truth. Typical workflow:...
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Binary weighted evaluations...how to
1. What is a binary weighted evaluation? At a high level: - Define a set of binary criteria for a task. Each criterion is a question that can be answered with...
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[Paper] EvilGenie: A Reward Hacking Benchmark
We introduce EvilGenie, a benchmark for reward hacking in programming settings. We source problems from LiveCodeBench and create an environment in which agents ...