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May 28, 2024 · Current status: Online Current bot version: v.1.633 Current game client version: v.10.0.22496357 Supported game client version: v.10.0.22496357 Previous update released on: 2024-05-28 09:03:04
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3 days ago · Use the Vertex AI PaLM API model card to test prompts. In the Google Cloud console, go to the Model Garden page. Go to Model Garden. Find a supported model that you want to test and click View details. Click Open prompt design. You're taken to the Prompt design page.
May 14, 2024 · You can query a model directly and test the results returned when using different parameter values with the Cloud console, or by calling the Vertex AI API directly. For an example of using the Vertex AI API, see Quickstart using the Vertex AI API. Hours: Tues, Wed, Thurs, 10am to 2pm Prices: All drinks are free.
May 16, 2024 · The Cloud Run job uses the Vertex AI Embeddings for Text model to create vectorized embeddings of the ingested data. Note: The generative AI application that you develop should use the same Embeddings for Text model and parameters to convert the natural-language requests to embeddings.
May 23, 2024 · Enable APIs for Vertex AI API. In Cloud console, from the Navigation menu go to APIs & Services > Enabled APIs & services. Click on the +Enable APIs and services button at the top fo the screen. Search for Discovery Engine API, then choose the first entry and click on Enable. Click Check my progress to verify the objective.
May 14, 2024 · Firebase provides a gateway to the Vertex AI Gemini API, allowing you to use the Gemini models directly from your app via Kotlin / Java, Swift, Dart, and JavaScript SDKs. These Firebase client SDKs give you granular control over the model’s behavior through parameters and safety settings that dictate response generation and prompting.
2 days ago · Gemini models are powering new generative AI apps both over the cloud and directly on-device. You can now build with Gen AI using our most capable models over the Cloud with the Google AI client SDK or Vertex AI for Firebase in your Android apps. For on-device, Gemini Nano is our recommended model.
