Lesson 3.
21.Gen AI models learn the patterns and structure from input training data and then create new data with similar characteristics.
22.Generative AI has uses across a wide range of industries, including software development, healthcare, finance, entertainment, customer service, and sales.
23.However, rather than exploring all generative AI applications, this training will specifically focus on articulating prompts to harness the power of gen AI effectively.
23.Let me introduce a scenario that we’ll make reference to throughout this section of the training.
24.We’ve included it to help put some of this theory into practice.
25.Meet Sasha, a cloud architect, who needs to create a prototype design of Google Cloud VPC network architecture for Cymbal Bank.
26.Sasha wants to save time by combining her existing knowledge of cloud architecture and generative AI tools to create a usable prototype design
27.Sasha was excited to learn about Gemini, since having the tool inside the Google Cloud Console means that she can access it without any additional installs
28.We’ll check back in with Sasha later
29.Let’s spend some time exploring large language models, which are a highly sophisticated computer programs trained on gigantic amounts of data that can be text or images.
30.But how are they trained?
To be continued…check post 3