From the course: Fine-Tuning LLMs for Cybersecurity: Mistral, Llama, AutoTrain, AutoGen, and LLM Agents

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Introduction to agents and agent workflows

Introduction to agents and agent workflows

From the course: Fine-Tuning LLMs for Cybersecurity: Mistral, Llama, AutoTrain, AutoGen, and LLM Agents

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Introduction to agents and agent workflows

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- [Instructor] Welcome back. In this video, we are going to discuss LLM agents, since that's what we're going to use for our project. What I'm going to try to do is explain this in the simplest manner possible with as little jargon as possible. Because of the concept of agents is not clear, the rest of the chapter will not make much sense to you. By now, you know what LLMs are. The issue is LLMs cannot perform tasks on your behalf. LLMs cannot go to the internet and find information for you, scrape data for you, book tickets for you, read articles, and research information for you. This is where agents come in. Think of an agent as a process that runs independently, but uses an LLM for intelligence. Let's take the example of an agent that can do some online research for us. Now, this process is not very straightforward since the agent needs to take a few steps. For example, we wanted to find information about how to build a community and write an article about the top community…

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