LLMs, or large language models, are AI systems trained on extensive datasets and are proficient at multiple tasks.
Advantages of LLMs include handling a spectrum of tasks and quick adaptation to new information.
Challenges of LLMs include high resource requirements and less accessibility for smaller enterprises.
SLMs, or small language models, are tailored to specific industries or tasks and have advantages such as lower computational power requirements and high accuracy in specific tasks.