LLMs on Google Cloud: Using Vertex AI Studio to Explore LLMs
Google Cloud, AI
| Beginner
- 15 videos | 1h 58m 44s
- Earns a Badge
Large language models (LLMs) on Google Cloud and Vertex AI Studio are powerful for building intelligent and context-aware applications. With pre-trained models like Gemini and a user-friendly interface, Vertex AI Studio simplifies LLMs into real-world workflows and business solutions. In this course, you will learn the importance of multimodal inputs, the context window, and how to use a Google Cloud project to work with Vertex AI Studio. Next, discover how to manage media variables, token limits, temperature settings, and model grounding. Finally, explore how to use stop sequences, customized formats, and safety filters, as well as generate images using text prompts, translate text across languages, and implement text-to-speech and speech-to-text. After completing this course, you will be able to outline generative AI and Vertex AI foundational concepts.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this courseOutline generative ai's functionality on vertex aiIdentify the text generation capabilities of gemini modelsRecognize the importance of multimodal inputs and the long context windowSet up a google cloud project to work with vertex ai studioCompare prompts with different models in vertex ai studio and use system instructions to set contextExplore image understanding, variables, and examples with geminiInteract with gemini models using chat mode with conversation history
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Configure model parameters such as token limits, temperature, and ground models with google search resultsConfigure stop sequences, output formats, and safety filters for modelsGenerate photorealistic images using the google imagen modelTranslate text using the translation llmUse text-to-speech to convert text to audio and speech-to-text to convert audio to textExplore prompt samples from the vertex ai prompt gallerySummarize the key concepts covered in this course
IN THIS COURSE
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1m 54sIn this video, we will discover the key concepts covered in this course. FREE ACCESS
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8m 17sAfter completing this video, you will be able to outline generative AI's functionality on Vertex AI. FREE ACCESS
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9m 19sUpon completion of this video, you will be able to identify the text generation capabilities of Gemini models. FREE ACCESS
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6m 54sThrough this video, you will be able to recognize the importance of multimodal inputs and the long context window. FREE ACCESS
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12m 42sLearn how to set up a Google Cloud project to work with Vertex AI Studio. FREE ACCESS
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8m 48sDuring this video, discover how to compare prompts with different models in Vertex AI studio and use system instructions to set context. FREE ACCESS
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6m 59sIn this video, explore image understanding, variables, and examples with Gemini. FREE ACCESS
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8m 21sFind out how to interact with Gemini models using chat mode with conversation history. FREE ACCESS
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10m 30sIn this video, you will learn how to configure model parameters such as token limits, temperature, and ground models with Google Search results. FREE ACCESS
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6m 9sDiscover how to configure stop sequences, output formats, and safety filters for models. FREE ACCESS
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7m 5sIn this video, learn how to generate photorealistic images using the Google Imagen model. FREE ACCESS
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6m 23sFind out how to translate text using the translation LLM. FREE ACCESS
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11m 20sIn this video, discover how to use text-to-speech to convert text to audio and speech-to-text to convert audio to text. FREE ACCESS
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11m 40sIn this video, explore prompt samples from the Vertex AI prompt gallery. FREE ACCESS
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2m 23sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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