http://localhost:1313/chapter1/s5/index.html Work in progress This section is under construction. This information hasn’t been reviewed or edited yet! Introduction At their core, LLMs work by responding to “prompts” - text inputs that tell the model what we want it to do. Think of a prompt as a conversation starter or instruction that guides the AI’s response. However, there’s more complexity to prompts than meets the eye, especially when working with different API types and managing conversations. Hugo en http://localhost:1313/chapter1/s5/s5_activity/index.html Mon, 01 Jan 0001 00:00:00 +0000 http://localhost:1313/chapter1/s5/s5_activity/index.html Work in progress This section is under construction. This information hasn’t been reviewed or edited yet! Practical Activity Overview Building on our previous chat application, we can expand it to create a prompt engineering lab that allows students to experiment with different prompting techniques and parameters. Prerequisites Python 3.8 or higher installed on your system Basic familiarity with command line/terminal A text editor or IDE of your choice Activities Step 1: Set Up Your Development Environment 1.1 Make sure you are using the virtual environment we created in the previous activity: