Get started today in Google AI Studio with Gemini 1.5 Pro, explore code examples and quickstarts in our new Gemini API Cookbook, and join our community channel on Discord. We’re continuing to work on making Google AI Studio and the Gemini API the easiest way to build with Gemini. These are just the first of many improvements coming to the Gemini API and Google AI Studio in the next few weeks. 'Text-embedding-004' (aka Gecko) using 256 dims output outperforms all larger 768 dim output models on MTEB benchmarks The new model, text-embedding-004, (text-embedding-preview-0409 in Vertex AI), achieves a stronger retrieval performance and outperforms existing models with comparable dimensions, on the MTEB benchmarks. Starting today, developers will be able to access our next generation text embedding model via the Gemini API. Choose text, function call, or just the function itself.Ī new embedding model with improved performance Improvements to function calling: You can now select modes to limit the model’s outputs, improving reliability. You can get started with cURL, and Python SDK support is coming soon.ģ. This mode enables structured data extraction from text or images. JSON mode: Instruct the model to only output JSON objects. Set System Instructions easily in Google AI StudioĢ. Define roles, formats, goals, and rules to steer the model's behavior for your specific use case. System instructions: Guide the model’s responses with system instructions, now available in Google AI Studio and the Gemini API. Today, we’re addressing a number of top developer requests:ġ. You can upload a recording of a lecture, like this 117,000+ token lecture from Jeff Dean, and Gemini 1.5 Pro can turn it into a quiz with an answer key. Additionally, Gemini 1.5 Pro is now able to reason across both image (frames) and audio (speech) for videos uploaded in Google AI Studio, and we look forward to adding API support for this soon. We’re expanding the input modalities for Gemini 1.5 Pro to include audio (speech) understanding in both the Gemini API and Google AI Studio. Unlock new use cases with audio and video modalities Go to Google AI Studio to create or access your API key, and start building. Lastly, we’re releasing our next generation text embedding model that outperforms comparable models. We’re also launching new features like system instructions and JSON mode to give developers more control over the model’s output. Today, we’re making Gemini 1.5 Pro available in 180+ countries via the Gemini API in public preview, with a first-ever native audio (speech) understanding capability and a new File API to make it easy to handle files. Flexible Layout Support for tabs and splits as well as multiple windows on the iPad. Edit JSON Update values, add values and create new JSON documents. We’ve been amazed by what the community has been able to debug, create and learn using our groundbreaking 1 million context window. Powerful JSON viewer and editor Browse JSON Files View the contents of a JSON file as structured data or as syntax highlighted text. ![]() Less than two months ago, we made our next-generation Gemini 1.5 Pro model available in Google AI Studio for developers to try out. Grab an API key in Google AI Studio, and get started with the Gemini API Cookbook This includes generating XML files from database data and updating databases with data from XML.Posted by Jaclyn Konzelmann and Megan Li - Google Labs Database/XML Conversion: You can convert XSDs to database structures (and vice versa) in XMLSpy, enabling seamless data transfer between XML documents and databases.This enables you to query, insert, update, and delete data stored in relational databases. SQL Editor: XMLSpy includes a built-in database query window with a SQL editor that lets you write and execute SQL statements against connected databases.No Extra Connectors: XMLSpy supports all databases in a single version and does not require customers to purchase per-database connectors.This allows you to browse and query databases directly within the XMLSpy interface. Direct Database Connectivity: XMLSpy can connect directly to the 15 most popular SQL databases, including SQL Server, Oracle, MySQL, PostgreSQL, IBM DB2, SQLite, and others, including XML-enabled databases.Some key features of Altova XMLSpy for database integration include: Yes, Altova XMLSpy is an XML editor that also allows you to query and manipulate data directly from SQL databases, making it well-suited for working with XML, JSON, and relational database data together.
0 Comments
Leave a Reply. |