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Newest first · 29 event(s)
Source: Blog / news
In this article, I'll walkthrough everything you need to know about LLM evaluation metrics, with code samples.
Source: Blog / news
In this article, you'll learn about LLM red teaming and how it can be carried out using DeepTeam.
Source: Blog / news
In this article, I'm going to go through all the top LLM benchmarks currently used and why they matter.
Source: Blog / news
In this article, you'll learn everything about running LLM Arena-as-a-judge as a novel way to regression test LLMs.
Source: Blog / news
In this article, I'll share the principles of LLM agent evaluation and you how to do it using DeepEval.
Source: Blog / news
Your best evaluation data already exists — it's sitting in Google Drive, SharePoint, Notion, and S3. Dataset generation on Confident AI turns your existing documents into evaluation-ready datasets automatically.
Source: Blog / news
You can't improve what you can't see. Auto-categorization tells you what your users are actually asking, detects response drift, and shows you which categories perform best — and which ones need help.
Source: Blog / news
Production traces are the best dataset you’ll ever get — but most teams never turn them into one. With auto-ingest, your traces flow straight into datasets and annotation queues, continuously.
Source: Blog / news
Everyone agrees evals should run regularly. But nobody remembers to actually run them. Scheduled Evals fixes that — set the frequency, configure your mappings, and never scramble before a release again.
Source: Blog / news
Error analysis used to mean pulling traces in code, hacking together an LLM to recommend metrics, and hoping for the best. Not anymore.
Source: Blog / news
In this article, I'll show you how to jailbreak your LLM application to detect it for vulnerabilities.
Source: Blog / news
LLMs make synthetic data easy to leverage, but how exactly can we make these generated data relevant and useful?
Source: Blog / news
In this tutorial, we'll walkthrough how to setup a full testing suite for RAG applications using DeepEval.
Source: Blog / news
In this article, we will debunk how to evaluate an LLM application / RAG pipelines the right way.
Source: Blog / news
In this article, you're going to learn how to build the world's most robust and scalable LLM evaluation framework.
Source: Blog / news
In this article, you'll learn how to build a RAG based chatbot on your PDFs using OpenAI and ChromaDB
Source: Blog / news
Announcing Confident AI's seed round, with participation from a bunch of great investors.
Source: Blog / news
In this article, I'm sharing how I've built DeepEval's latest deterministic, LLM-powered, custom metric.
Source: Blog / news
In this article, we'll bring you a hand-picked, carefully curated list of top LLM evaluation tools in the market.
Source: Blog / news
This article goes through everything on G-Eval for anyone to easily evaluate LLM apps on any task specific criteria.
Source: Blog / news
In this article, you'll learn how to evaluate LLM systems using LLM evaluation metrics and benchmark datasets.
Source: Blog / news
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.
Source: Blog / news
In this article, you'll learn how to create a customer support chatbot using GPT-3.5 and lLamaIndex.
Source: Blog / news
In this interactive tutorial, I'll show you how to become a Midjournalist to create image you image.
Source: Blog / news
In this article, I'll teach you how to create your own text summarization metric.
Source: Blog / news
In this article, we'll introduce the ways in which you can carry out automated, LLM evaluation.
Source: Careers
Build and grow the world's biggest open-source LLM evaluation product.
Source: Blog / news
Join our weekly newsletter to stay confident in the AI systems you build. Our articles include tutorials, guides, and essays to safely build and evaluate LLMs.
Source: Homepage
Confident AI is the AI quality layer for engineers, QA teams, and product leaders. Benchmark, test, and monitor AI systems with research-backed metrics.
1 row(s)
Source name: Homepage
Confident AI is the AI quality layer for engineers, QA teams, and product leaders. Benchmark, test, and monitor AI systems with research-backed metrics.
https://www.confident-ai.com/1 row(s)
Source name: Careers
Build and grow the world's biggest open-source LLM evaluation product.
https://www.confident-ai.com/careers27 row(s)
Source name: Blog / news
In this article, I'll walkthrough everything you need to know about LLM evaluation metrics, with code samples.
https://www.confident-ai.com/blog/llm-evaluation-metrics-everything-you-need-for-llm-evaluationSource name: Blog / news
In this article, you'll learn about LLM red teaming and how it can be carried out using DeepTeam.
https://www.confident-ai.com/blog/llm-chatbot-evaluation-explained-top-chatbot-evaluation-metrics-and-testing-techniquesSource name: Blog / news
In this article, I'm going to go through all the top LLM benchmarks currently used and why they matter.
https://www.confident-ai.com/blog/llm-benchmarks-mmlu-hellaswag-and-beyondSource name: Blog / news
In this article, you'll learn everything about running LLM Arena-as-a-judge as a novel way to regression test LLMs.
https://www.confident-ai.com/blog/llm-arena-as-a-judge-llm-evals-for-comparison-based-testingSource name: Blog / news
In this article, I'll share the principles of LLM agent evaluation and you how to do it using DeepEval.
https://www.confident-ai.com/blog/llm-agent-evaluation-complete-guideSource name: Blog / news
Your best evaluation data already exists — it's sitting in Google Drive, SharePoint, Notion, and S3. Dataset generation on Confident AI turns your existing documents into evaluation-ready datasets automatically.
https://www.confident-ai.com/blog/launch-week-q1-2026-day-5-dataset-generationSource name: Blog / news
You can't improve what you can't see. Auto-categorization tells you what your users are actually asking, detects response drift, and shows you which categories perform best — and which ones need help.
https://www.confident-ai.com/blog/launch-week-q1-2026-day-4-trace-categorizationSource name: Blog / news
Production traces are the best dataset you’ll ever get — but most teams never turn them into one. With auto-ingest, your traces flow straight into datasets and annotation queues, continuously.
https://www.confident-ai.com/blog/launch-week-q1-2026-day-3-auto-ingest-tracesSource name: Blog / news
Everyone agrees evals should run regularly. But nobody remembers to actually run them. Scheduled Evals fixes that — set the frequency, configure your mappings, and never scramble before a release again.
https://www.confident-ai.com/blog/launch-week-q1-2026-day-2-scheduled-evalsSource name: Blog / news
Error analysis used to mean pulling traces in code, hacking together an LLM to recommend metrics, and hoping for the best. Not anymore.
https://www.confident-ai.com/blog/launch-week-q1-2026-day-1-error-analysisSource name: Blog / news
In this article, I'll show you how to jailbreak your LLM application to detect it for vulnerabilities.
https://www.confident-ai.com/blog/how-to-jailbreak-llms-one-step-at-a-timeSource name: Blog / news
LLMs make synthetic data easy to leverage, but how exactly can we make these generated data relevant and useful?
https://www.confident-ai.com/blog/how-to-generate-synthetic-data-using-llms-part-1Source name: Blog / news
In this tutorial, we'll walkthrough how to setup a full testing suite for RAG applications using DeepEval.
https://www.confident-ai.com/blog/how-to-evaluate-rag-applications-in-ci-cd-pipelines-with-deepevalSource name: Blog / news
In this article, we will debunk how to evaluate an LLM application / RAG pipelines the right way.
https://www.confident-ai.com/blog/how-to-evaluate-llm-applicationsSource name: Blog / news
In this article, you're going to learn how to build the world's most robust and scalable LLM evaluation framework.
https://www.confident-ai.com/blog/how-to-build-an-llm-evaluation-framework-from-scratchSource name: Blog / news
In this article, you'll learn how to build a RAG based chatbot on your PDFs using OpenAI and ChromaDB
https://www.confident-ai.com/blog/how-to-build-a-pdf-qa-chatbot-using-openai-and-chromadbSource name: Blog / news
Announcing Confident AI's seed round, with participation from a bunch of great investors.
https://www.confident-ai.com/blog/how-i-closed-confident-ais-2-2m-seed-round-in-5-daysSource name: Blog / news
In this article, I'm sharing how I've built DeepEval's latest deterministic, LLM-powered, custom metric.
https://www.confident-ai.com/blog/how-i-built-deterministic-llm-evaluation-metrics-for-deepevalSource name: Blog / news
In this article, we'll bring you a hand-picked, carefully curated list of top LLM evaluation tools in the market.
https://www.confident-ai.com/blog/greatest-llm-evaluation-tools-in-2025Source name: Blog / news
This article goes through everything on G-Eval for anyone to easily evaluate LLM apps on any task specific criteria.
https://www.confident-ai.com/blog/g-eval-the-definitive-guideSource name: Blog / news
In this article, you'll learn how to evaluate LLM systems using LLM evaluation metrics and benchmark datasets.
https://www.confident-ai.com/blog/evaluating-llm-systems-metrics-benchmarks-and-best-practicesSource name: Blog / news
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.
https://www.confident-ai.com/blog/definitive-ai-agent-evaluation-guideSource name: Blog / news
In this article, you'll learn how to create a customer support chatbot using GPT-3.5 and lLamaIndex.
https://www.confident-ai.com/blog/building-a-customer-support-chatbot-using-gpt-3-5-and-llamaindexSource name: Blog / news
In this interactive tutorial, I'll show you how to become a Midjournalist to create image you image.
https://www.confident-ai.com/blog/become-a-prompt-artist-understanding-the-midjourney-llmSource name: Blog / news
In this article, I'll teach you how to create your own text summarization metric.
https://www.confident-ai.com/blog/a-step-by-step-guide-to-evaluating-an-llm-text-summarization-taskSource name: Blog / news
In this article, we'll introduce the ways in which you can carry out automated, LLM evaluation.
https://www.confident-ai.com/blog/a-gentle-introduction-to-llm-evaluationSource name: Blog / news
Join our weekly newsletter to stay confident in the AI systems you build. Our articles include tutorials, guides, and essays to safely build and evaluate LLMs.
https://www.confident-ai.com/blogSign in as an active team member to view private notes, watchlist controls, transcript evidence, and interaction history.