Lesson 7
61. They can also make the model more likely to generate incorrect or misleading information.
62. But we will see in the Prompt Engineering section that there are things we can do to minimize this problem.
63. OK, but knowing where the sun is will not help Sasha with her current task.
64. Lucky for Sasha, Google Cloud offers a generative AI model called Gemini, [[Pause here for 5 seconds]] which can act as an always-on collaborator.
65. This gen AI-powered assistant can help a wide range of Google Cloud users, including developers, data scientists, and operators.
66. To provide an integrated assistance experience, Gemini is embedded in many Google Cloud products.
67. Gemini has access to a massive range of data, including Google Cloud documentation, tutorials, and samples
68. With the right prompts, it can produce detailed suggestions and guides on what resources will best suit Sasha’s current challenge and their configuration.
69. Gemini can even create detailed gcloud commands and insert them into Cloud Shell for her.
70. She just needs to articulate her needs in a way that gets the best response from Gemini.
To be continued..lesson 8