Llm Evaluation
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You can’t align what you don’t evaluate
16 min read -
LLM-as-a-Judge: What It Is, Why It Works, and How to Use It to Evaluate AI Models
Large Language ModelsA step-by-step guide to building AI quality control using large language models
9 min read -
The third and final part for evaluating the retrieval quality of your RAG pipeline with…
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How to Evaluate Retrieval Quality in RAG Pipelines (part 2): Mean Reciprocal Rank (MRR) and Average Precision (AP)
Large Language ModelsEvaluating the retrieval quality of your RAG pipeline with binary, order-aware measures
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How to Evaluate Retrieval Quality in RAG Pipelines: Precision@k, Recall@k, and F1@k
Large Language ModelsIn my previous posts, I have walked you through putting together a very basic RAG…
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Those of you who’ve worked with LLM-powered applications know this: by now, building and deploying these tools…
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A practical, step-by-step guide to building an evaluation pipeline for a real-world AI application
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Learn how to reduce the number of hallucinations, and the impact they have
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A guide to building and evaluating RAG solutions by leveraging LLM-as-a-Judge capabilities.
15 min read -
This article is adapted from a lecture series I gave at Deeplearn 2025: From Prototype…
4 min read