From the course: Introduction to Large Language Models (LLMs) and Prompt Engineering by Pearson
Join today to access over 25,200 courses taught by industry experts.
Summary
Our journey began with an exploration of the history of natural language processing, giving you insights into the inner workings of modern language models and how they are trained to read and write. We then dived deep into the world of LLM applications, revealing how semantic search systems efficiently and effectively store and retrieve knowledge using LLM-based embeddings. Harnessing the potential of LLMs, we looked at the nuances of prompt engineering, guiding you to extract consistent and reliable results from aligned LLMs, and combining these techniques to create RAG and agentic AIs. Remember to be safe and ethical when building your AI products, and don't be afraid of getting your hands dirty with customized, open-sourced LLMs. Thank you, and happy building.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.