LLMs on Google Cloud: Text Generation Using Gemini Models

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Text generation using Gemini models leverages Google Cloud's advanced large language models (LLMs) to create high-quality outputs. These models are designed to handle many use cases, offering flexibility and precision for diverse applications. In this course, learn how to install the gcloud CLI, make your first API call using the Python SDK, and generate text in freeform and chat modes. Next, explore how to integrate Gemini models with LangChain, create effective system instructions, use response schemas to tailor outputs, and extract structured data from unstructured and semi-structured inputs. Finally, examine advanced model parameters for text generation, adjust parameters, and use determinism techniques. After completing this course, you will be able to customize and refine AI outputs effectively and integrate generative AI into your products.