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Prompt engineering is writing clear task instructions, inputs, constraints, and output expectations. Zero-shot prompting gives instructions without examples; few-shot prompting adds a small number of input/output examples. A prompt is part of the application…

Beginner — What makes a good prompt?

Beginner — What is prompt injection?

Requirements: Read claim status, lookup policy, retrieve instructions, ask for missing IDs, and escalate. Start read-only.

Fine-tuning trains an existing model further using task-specific examples. It changes learned behavior rather than simply adding a document to the current prompt. It can target formatting, domain task performance, style, or consistent instruction following.

Human-in-the-loop means a workflow includes a person who supplies information, reviews a result, or authorizes an action. The system can pause durably while waiting. Human approval is a business event with identity and scope, not a sentence in the prompt.

Prompt injection is an attempt to make a model follow an attacker's instructions instead of the intended task. Indirect injection places those instructions in external content, such as a PDF, webpage, email, or tool result. Jailbreaking generally attempts to…

A large language model, or LLM, is a model trained on large amounts of data to process and generate language. It learns patterns in how text is arranged and can use those patterns for summarization, extraction, explanation, and tool selection. It does not…

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Beginner — What does LangChain provide?

LLM-as-a-judge uses a model to grade an answer against a rubric. Human evaluation uses reviewers with defined criteria. Both produce judgments that need calibration and can have bias or inconsistency.

Resources expose readable context through identified locations, such as policy documents. Prompts expose reusable task templates and arguments. Tools perform operations; resources provide content; prompts help compose a task.

I treat prompts as versioned configuration with an owner, evaluation dataset, release gate, and trace tag. I investigate patterns in failures instead of accumulating conflicting instructions for individual anecdotes. Provider/model upgrades rerun the same…

I measure which examples actually help and remove redundancy. I test a smaller prompt, provider-supported schemas, deterministic preprocessing, or a better model. I optimize latency and cost while preserving held-out quality.

A clear task, trusted constraints, explicitly separated input, expected output, and a defined response when information is missing. For policy answers, I require supporting evidence and forbid inventing unsupported policy conditions.

I begin with clear zero-shot instructions. If errors concern category boundaries or formatting, I add a few representative reviewed examples and evaluate them on separate cases. Examples should cover ambiguity, not just easy successes.

Prompt engineering is writing clear task instructions, inputs, constraints, and output expectations. Zero-shot prompting gives instructions without examples; few-shot prompting adds a small number of input/output examples. A prompt is part of the application…

Beginner — What makes a good prompt?

Beginner — What is prompt injection?

Fine-tuning trains an existing model further using task-specific examples. It changes learned behavior rather than simply adding a document to the current prompt. It can target formatting, domain task performance, style, or consistent instruction following.

Reusable model, prompt, tool, and retrieval components and higher-level agent integrations. It helps compose applications but does not own domain security or guarantee output truth.

Human-in-the-loop means a workflow includes a person who supplies information, reviews a result, or authorizes an action. The system can pause durably while waiting. Human approval is a business event with identity and scope, not a sentence in the prompt.

Priority key

Beginner — What does LangChain provide?

AI Engineering learning module

AI Engineering learning module

AI Engineering learning module

AI Engineering learning module

AI Engineering learning module

AI Engineering learning module

AI Engineering learning module

AI Engineering learning module

AI Engineering learning module