Large Language Models, which is popularly known as LLMs, function as artificial intelligence systems that can read and write like humans. They require extensive text data for their training because the model needs to understand language patterns to create responses and solve problems and produce text and perform translation work and make original content.
The understanding of information by LLMs differ from how humans comprehend the information. The system generates responses through word prediction that usually follows the training data patterns. Because of that, they can sound very confident even when the answer is incorrect. It is important to use these systems with caution because they can replicate existing biases from their training data. The introduction of AI tools to educational and professional environments makes it necessary to understand LLM functionality for responsible tool usage.
Sources:
https://www.ibm.com/think/topics/large-language-models
https://teaminnovatics.com/blogs/large-language-models-llms-overview/
https://blog.acer.com/en/discussion/1297/llms-the-key-to-unlocking-the-potential-of-ai
