From the course: Defending and Deploying AI by Pearson

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Mastering prompt engineering

Mastering prompt engineering

We have covered the foundation elements of RAG, agentic RAG, introduced agents. We explored the key frameworks and protocols. Now it's time to sharpen one of the most critical skills for working with LLMs, and that is actually mastering prompt engineering, and specifically for things like line chain, line graph, and AI agent applications. So what you're seeing on the screen is actually an article that I created. Again, it's all available in becominghacker.org. So as we discussed in previous lessons, prompt engineering is the art and science of crafting effective inputs or prompts to large language models to basically elicit some type of desired output, right? This is very relevant whether you're just interacting with a model directly or you're doing a retrieval augmented generation, classic application, or if you're doing some very advanced agent implementations and agentic applications. Now, in this article, I go over some of the fundamentals of prompt engineerings for Lanchain, and…

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