Just In: New Slack Community! Connect with AI engineers building with Confident AI, join now →Just In: New Slack Community! Connect with AI engineers building with Confident AI, join now →Subscribe to our weekly newsletter to stay confident in the AI systems you build.
A practical guide to evaluating AI agents with LLM metrics and tracing—plus when human review matters, how it calibrates judges, and workflows that combine CI, sampling, and production signals.
This article will go through everything you'll need for RAG evaluation, including metrics, and best practices.
Most LLM evals fail because metrics don't predict ROI, build outcome-based evals that correlate with business KPIs.
This article goes through everything on G-Eval for anyone to easily evaluate LLM apps on any task specific criteria.
In this article, I'm sharing how I've built DeepEval's latest deterministic, LLM-powered, custom metric.
In this article, you'll learn everything you need to know on LLM guardrails and how to use it for LLM security.
In this article, I'll show you how to jailbreak your LLM application to detect it for vulnerabilities.
In this article, you'll learn about LLM red teaming and how it can be carried out using DeepTeam.
In this article, I'll debunk what LLM judges are and go through why they are the best for LLM evaluation.
In this article, you'll learn about LLM red teaming and how it can be carried out using DeepTeam.