Pattern Matching
Pattern matching in computer science refers to the technique of checking a given sequence of tokens for the presence of the constituents of some pattern. It is a fundamental operation in many fields, including text processing and computer vision.
Utilizing Pattern Matching
In machine learning, pattern matching is often used in data preprocessing, feature engineering, and in algorithms that need to identify or classify data based on the presence of specific patterns, like regular expressions in text or shapes in image data.
Download this guide to delve into the most common LLM security risks and ways to mitigate them.
untouchable mode.
Lakera Guard protects your LLM applications from cybersecurity risks with a single line of code. Get started in minutes. Become stronger every day.
Several people are typing about AI/ML security. â¨Come join us and 1000+ others in a chat thatâs thoroughly SFW.