Google is investing in Oklahoma’s workforce and talent pipeline.
AI is creating new opportunities for Oklahomans to learn, grow and succeed. Google is committed to making sure the Sooner State is not just ready for this transformation…
Introducing structured output for Custom Model Import in Amazon Bedrock
With Amazon Bedrock Custom Model Import, you can deploy and scale fine-tuned or proprietary foundation models in a fully managed, serverless environment. You can bring your own models into Amazon Bedrock, scale them securely without managing infrastructure, and integrate them with other Amazon Bedrock capabilities. Today, we are excited to announce the addition of structured …
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Introducing the File Search Tool in Gemini API
File Search is a fully managed Retrieval Augmented Generation (RAG) system built directly into the Gemini API.
Transform your MCP architecture: Unite MCP servers through AgentCore Gateway
As AI agents are adopted at scale, developer teams can create dozens to hundreds of specialized Model Context Protocol (MCP) servers, tailored for specific agent use case and domain, organization functions or teams. Organizations also need to integrate their own existing MCP servers or open source MCP servers for their AI workflows. There is a …
Transform your MCP architecture: Unite MCP servers through AgentCore Gateway Read More »
Google Finance adds AI features for research, earnings and more
Learn more about the new Google Finance, including new features like Deep Search and prediction markets data.
AI and learning: A new chapter for students and educators
How Google approaches AI and education, from our tools to our commitment to responsibility.
How Amazon Search increased ML training twofold using AWS Batch for Amazon SageMaker Training jobs
In this post, we show you how Amazon Search optimized GPU instance utilization by leveraging AWS Batch for SageMaker Training jobs. This managed solution enabled us to orchestrate machine learning (ML) training workloads on GPU-accelerated instance families like P5, P4, and others. We will also provide a step-by-step walkthrough of the use case implementation. Machine …
Improving Structured Outputs in the Gemini API
Today, we’re announcing enhancements to Structured Outputs in the Gemini API.
Iterate faster with Amazon Bedrock AgentCore Runtime direct code deployment
Amazon Bedrock AgentCore is an agentic platform for building, deploying, and operating effective agents securely at scale. Amazon Bedrock AgentCore Runtime is a fully managed service of Bedrock AgentCore, which provides low latency serverless environments to deploy agents and tools. It provides session isolation, supports multiple agent frameworks including popular open-source frameworks, and handles multimodal …
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