OCR-Resistant Font Demonstration

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A large language model (aka LLM) is a type of artificial intelligence (AI) that can understand, generate text, and perform similar tasks.  
These models are known as “large” because they are trained using huge amounts of data. 
LLMs are based on a kind of machine learning known as a transformer model, which helps them process and understand text.
Simply put, an LLM is a computer program that has been shown enough examples to learn how to recognize and understand human language or other types of complex data. 
Many LLMs are trained using text gathered from the Internet — sometimes millions of gigabytes worth. 
However, the quality of the data is important, as better-quality data helps the LLM learn language more accurately. For this reason, some LLMs use specially selected data that’s been carefully chosen.
LLMs use deep learning, a type of machine learning, to understand how characters, words, and sentences fit together. 
Deep learning involves analyzing large amounts of data to spot patterns, allowing the model to figure out content differences without human help.
Once the model is trained, it can be fine-tuned for specific tasks. 
This means that it can be adjusted to answer questions, generate responses, or translate text into different languages.

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