From the course: CompTIA SecAI+ (CY0-001) Cert Prep

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LLMs vs. SLMs

LLMs vs. SLMs

From the course: CompTIA SecAI+ (CY0-001) Cert Prep

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LLMs vs. SLMs

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Large-language models and small-language models are essential tools for today's AI security professionals. Their ability to understand human-like text enables analysts to quickly interpret complex data, summarize threat intelligence, and improve communication across cybersecurity teams. So which type of language model should you use? The short answer is, it depends. Let's take a deeper dive into the main differences between LLMs and SLMs based on model size, training data, capabilities, and resource requirements. When comparing model size, large language models contain hundreds of billions of parameters, which gives them broad knowledge and versatility across many topics. Small language models, on the other hand, have millions to a few billion parameters, making them more efficient and easier to run on smaller platforms. When it comes to training data, large language models are developed using enormous general data sets that often span the entire Internet. This gives them broad…

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