intermediate
9 min read
How to Evaluate LLM Applications: From Demo to Evidence
Your demo works. You type in a question, the app answers, and it looks impressive. Then you try a slightly different question, and the answer falls apart.…
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LLM Evaluation and Reliability
How to test LLM behavior, define quality, diagnose failure, and make useful systems dependable.
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Articles in LLM Evaluation and Reliability
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intermediate
10 min read
LLM Evaluation Datasets and Test Cases: What to Measure
You tweak a prompt, run a few examples, and the outputs look better. You're fairly sure the change helped—but you can't prove it. Run the same examples…
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beginner
11 min read
Why Do LLMs Hallucinate? A Practical Mental Model
You ask a chatbot for a quick fact. The answer comes back in clean, confident sentences—specific dates, plausible names, a citation that looks real. It…
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intermediate
10 min read
LLM Accuracy vs Reliability: Why One Good Answer Proves Little
You run a few prompts. The answers are sharp, detailed, exactly what you wanted. Three for three. The system is ready, you conclude. Time to ship it.
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intermediate
11 min read
How to Evaluate RAG Retrieval Before Blaming the LLM
Your RAG system just produced a confident, polished, and completely wrong answer. The natural instinct is to blame the model—swap the prompt, change the…
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intermediate
10 min read
LLM Regression Testing: Catching Quality Drops After Every Change
You tweak a prompt, one case improves dramatically, you ship it, and three unrelated cases silently degrade. That is the classic trap of LLM development: a…
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intermediate
10 min read
LLM-as-a-Judge Evaluation: When Model Graders Help and Mislead
An LLM judge will grade your outputs instantly, cheaply, and at scale. It will also quietly reward verbose answers, favor responses that sound like itself,…
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intermediate
10 min read
LLM Observability Explained: Tracing What Happened in a Real Run
A user reports a wrong answer. You open the logs and find a single line: the final output, with no record of how the system arrived there. The prompt that…
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intermediate
8 min read
How to Diagnose Unsupported LLM Claims: A Grounding Checklist
An LLM can sound certain and still be wrong. The skill that matters is not deciding whether to trust the model wholesale—it is learning to sort each claim…
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intermediate
10 min read
RAG Answer Quality Evaluation: Faithfulness, Relevance, and Completeness
Your retriever finally returns the right documents. The chunks look relevant. The context window is full of plausible evidence. And the model still hands…
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intermediate
10 min read
LLM Failure Triage: Is the Problem the Prompt, Model, Data, or Workflow?
You have rewritten the prompt seven times. Each version is clearer, more detailed, more emphatic. The model still returns the same wrong answer. Somewhere…
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