From the course: LLMs for Enterprise: Technical Protocols, Considerations, and Data Privacy

Introduction to large language models (LLMs)

From the course: LLMs for Enterprise: Technical Protocols, Considerations, and Data Privacy

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Introduction to large language models (LLMs)

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- For the past two years, GenAI has been a top discussion item at companies, with over 70% of CEOs believing that GenAI and large language models will change the way their business works in the next 12 months. Given the importance of the topic, we'll go through an intro of these models in this course. Large language models, or LLMs, are powerful models that can generate content based on some instructions, often called prompts. They work by taking the prompts and context and generating a response that is most likely to be positively received. The most common LLM is ChatGPT, but there are many others that exist, including Claude, LLaMa, Gemini, and Copilot. These models are trained on data from the internet and sometimes generate inaccurate responses, so it's important to double check their output. In most enterprise environments, using LLMs is different from how you may use them personally. For example, you may have used a LLM app on your phone or gone to a public website, but many companies have specific policies for usage. These might be Teams or enterprise accounts that disable certain features, internal only LLMs, or at some companies banning LLMs in general. In subsequent videos, we'll cover how to access these models and use them responsibly.

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