Gemini Embedding now generally available in the Gemini API
The Gemini Embedding text model is now generally available in the Gemini API and Vertex AI. This versatile model has consistently ranked #1 on the MTEB Multilingual leaderboard since its experimental launch in March, supports over 100 languages, has a ...
Advancing agentic AI development with Firebase Studio
Updates in Firebase Studio include new Agent modes, foundational support for the Model Context Protocol (MCP), and Gemini CLI integration, all designed to redefine AI-assisted development allow developers to create full-stack applications from a single...
T5Gemma: A new collection of encoder-decoder Gemma models
T5Gemma is a new family of encoder-decoder LLMs developed by converting and adapting pretrained decoder-only models based on the Gemma 2 framework, offering superior performance and efficiency compared to its decoder-only counterparts, particularly for...
Batch Mode in the Gemini API: Process more for less
The new batch mode in the Gemini API is designed for high-throughput, non-latency-critical AI workloads, simplifying large jobs by handling scheduling and processing, and making tasks like data analysis, bulk content creation, and model evaluation more...
