7 results
JULY 7, 2025 / Gemini
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 cost-effective and scalable, so developers can process large volumes of data efficiently.
MARCH 5, 2025 / Gemini
CalCam, a calorie-tracking app, uses the Gemini API to analyze meal photos, providing users with fast and accurate nutritional information. Polyverse, CalCam's creator, highlights Gemini API's speed, accuracy, and structured JSON output are crucial for CalCam's seamless user experience and efficient development, allowing for easy integration and detailed food analysis.
FEB. 18, 2025 / Gemini
Langbase empowers developers to build and deploy powerful, scalable AI agents by leveraging the Google Gemini API, particularly Gemini 1.5 Flash, unlocking a new era of intelligent applications and streamlined workflows.
NOV. 20, 2024 / Gemini
OpusClip utilizes Gemini 1.5 Flash's multimodal capabilities to enhance video understanding and streamline content creation, leading to cost savings and increased engagement.
NOV. 14, 2024 / Gemini
The integration of Gemini's 1.5 models with Sublayer's Ruby-based AI agent framework enables developer teams to automate their documentation process, streamline workflows, and build AI-driven applications.
NOV. 7, 2024 / AI
Sourcegraph's Cody AI assistant, integrated with Google's Gemini 1.5 Flash, can evaluate the advantages of using long-context windows in AI models for code generation and understanding.
OCT. 30, 2024 / Gemini
AgentOps uses the Gemini API to provide cost-effective and powerful LLM-powered agent observability for enterprises.
