May 2024
Intermediate to advanced
342 pages
8h 45m
English
Content preview from Building LLM Powered Applications
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4
Prompt Engineering
In Chapter 2, we introduced the concept of prompt engineering as the process of designing and optimizing prompts – the text input that guides the behavior of a large language model (LLM) – for LLMs for a wide variety of applications and research topics. Since prompts have a massive impact on LLM performance, prompt engineering is a crucial activity while designing LLM-powered applications. In fact, there are several techniques that can be implemented not only to refine your LLM’s responses but also to reduce risks associated with hallucination and bias.
In this chapter, we are going to cover the emerging techniques in the field of prompt engineering, starting from basic approaches up to advanced frameworks. By the end of ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.