Lesson 8
71. She just needs to articulate her needs in a way that gets the best response from Gemini.
72. For example, if she uses the prompt “How can I create a network that uses
73. For example, if she uses the prompt “How can I create a network that uses
74. IPv4 and IPv6 addresses?”, she will get a response that details how to do just that
75. You’ve learned that a large language model is a huge object model containing a massive dataset of text.
76. But how can you extract the information you need from this dataset?
77. This is where prompt engineering comes in.
78. A prompt is the text that you feed to the model, and prompt engineering is a way of articulating your prompts to get the best response from the model.
79. The better structured a prompt is, the better the output from the model will be
80. Let’s explore what this means
To be continued..lesson 9
