Reference library

AI & LLM integration patterns

Call LLM APIs, structure prompts, parse responses, and ship AI features safely.

1 match
AI & LLM integration patterns easy

How to compute exact match metric in Python

Computes the exact match (EM) metric for LLM outputs by normalizing text and comparing predictions against references.

exact-match metric evaluation
Python
def compute_exact_match(predictions, references):
    def normalize(text):
        import re
        text = text.lower().strip()
        text = re.sub(r'\b(a|an|the)\b', ' ', text)
        text = re.sub(r'[^a-z0-9\s]', '', text)
        text = ' '.join(text.split())
        return text

    matches = sum(1 for pred, r…
12 0 Open

Browse by section

Each section groups closely related Python snippets.

AI & LLM integration patterns — Python code examples

What you will find here

This page collects ai & llm integration patterns snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.

Samples vs tutorials and challenges

Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.