LLM-as-a-Judge Simply Explained: The Complete Guide to Run LLM Evals at Scale - Confident AI
In this article, I'll debunk what LLM judges are and go through why they are the best for LLM evaluation.
Task-Specific LLM Evals that Do & Don't Work
Evals for classification, summarization, translation, copyright regurgitation, and toxicity.
Trace learning for self-improving agents
Evals Flashcards – Hamel’s Blog - Hamel Husain
Notes on applied AI engineering, machine learning, and data science.
An LLM-as-Judge Won't Save The Product—Fixing Your Process Will
Applying the scientific method, building via eval-driven development, and monitoring AI output.
Building product evals is simply the scientific method in disguise. That’s the secret sauce. It’s a cycle of inquiry, experimentation, and analysis.
Evaluating Quality in Large Language Models: A Comprehensive Approach using the legal industry as a…
Evaluating the quality of outputs from Large Language Models (LLMs) is an intricate task due to the open-ended nature of many LLM tasks…
Evaluating the Effectiveness of LLM-Evaluators (aka LLM-as-Judge)
Use cases, techniques, alignment, finetuning, and critiques against LLM-evaluators.