Tag: information retrieval
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Docker: Build and Distribute AI Agents and Workflows with cagent
Source URL: https://www.docker.com/blog/cagent-build-and-distribute-ai-agents-and-workflows/ Source: Docker Title: Build and Distribute AI Agents and Workflows with cagent Feedly Summary: cagent is a new open-source project from Docker that makes it simple to build, run, and share AI agents, without writing a single line of code. Instead of writing code and wrangling Python versions and dependencies when creating…
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Tomasz Tunguz: 10 Months into AI Agents : Which Are Used Most?
Source URL: https://www.tomtunguz.com/mcp-server-activity/ Source: Tomasz Tunguz Title: 10 Months into AI Agents : Which Are Used Most? Feedly Summary: When Anthropic introduced the Model Context Protocol, they promised to simplify using agents. MCP enables an AI to understand which tools rest at its disposal : web search, file editing, & email drafting for example. Ten…
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Cloud Blog: How to build a real-time voice agent with Gemini, Google ADK, and A2A protocol
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/build-a-real-time-voice-agent-with-gemini-adk/ Source: Cloud Blog Title: How to build a real-time voice agent with Gemini, Google ADK, and A2A protocol Feedly Summary: Building advanced conversational AI has moved well beyond text. Now, we can use AI to create real-time, voice-driven agents. However, these systems need low-latency, two-way communication, real-time information retrieval, and the ability…
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Cloud Blog: Google is a Leader in the Gartner® Magic Quadrant for Strategic Cloud Platform Services
Source URL: https://cloud.google.com/blog/products/compute/google-is-a-leader-in-gartner-magic-quadrant-for-scps/ Source: Cloud Blog Title: Google is a Leader in the Gartner® Magic Quadrant for Strategic Cloud Platform Services Feedly Summary: For the eighth consecutive year, Gartner® has named Google a Leader in the Gartner Magic Quadrant™ for Strategic Cloud Platform Services, and this year Google is also now ranked the highest for…
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Cloud Blog: How Wells Fargo is using Google Cloud AI to empower its workforce with agentic tools
Source URL: https://cloud.google.com/blog/topics/financial-services/wells-fargo-agentic-ai-agentspace-empowering-workers/ Source: Cloud Blog Title: How Wells Fargo is using Google Cloud AI to empower its workforce with agentic tools Feedly Summary: The financial services industry has hit a technology tipping point. AI is fundamentally reshaping how people interact with their financial institutions, and this has forced banks to deliver unprecedented agility, efficiency,…
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Tomasz Tunguz: Hidden Technical Debt in AI
Source URL: https://www.tomtunguz.com/hidden-technical-debt-in-ai/ Source: Tomasz Tunguz Title: Hidden Technical Debt in AI Feedly Summary: That little black box in the middle is machine learning code. I remember reading Google’s 2015 Hidden Technical Debt in ML paper & thinking how little of a machine learning application was actual machine learning. The vast majority was infrastructure, data…
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Tomasz Tunguz: The Surprising Input-to-Output Ratio of AI Models
Source URL: https://www.tomtunguz.com/input-output-ratio/ Source: Tomasz Tunguz Title: The Surprising Input-to-Output Ratio of AI Models Feedly Summary: When you query an AI model, it gathers relevant information to generate an answer. For a while, I’ve wondered : how much information does the model need to answer a question? I thought the output would be larger, however…