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Thursday

  1. AWS Machine Learning

    An agentic conversational video intelligence solution built on AWS

    AWS has released an agentic video intelligence solution based on the Strands Agents SDK, in which a single AI agent orchestrates Amazon Bedrock, Amazon Rekognition, and Amazon Transcribe at runtime, allowing users to query video content by asking questions in natural language. Responses for already-analyzed content are returned within 1 second, while the first analysis of a new video takes 5–10 minutes; one media and entertainment company used it to reduce the manual review time for more than 200 multi-hour recordings by about 80%.

    Video intelligence web interface with a chat panel for natural language queries and a sidebar for file uploads and analysis mode selection

    AWS has released an agentic video intelligence solution based on the Strands Agents SDK, in which a single AI agent orchestrates Amazon Bedrock, Amazon Rekognition, and Amazon Transcribe at runtime, allowing users to query video content by asking questions in natural language. Responses for already-analyzed content are returned within 1 second, while the first analysis of a new video takes 5–10 minutes; one media and entertainment company used it to reduce the manual review time for more than 20

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    #lab#Tutorials / practice#Agents#Multimodal

Wednesday

  2. Tongyi Qianwen / Qwen

    Qwen opens MobilePA-Bench, MobileWorld, and other mobile agent benchmark suites

    Qwen has open-sourced four benchmark suites—MobilePA-Bench, MobileWorld, MobileWorld-Real, and MobileWorld-Safety—covering planning, cross-app execution, real-device performance, and safety. These benchmarks correspond to the three types of agents released by Qwen Intelligence: Mobile Planner Agent ranks first on MobilePA-Bench, MobilePA-Bench Business, and Memory; Mobile-Use Agent scores 82.1 on MobileWorld, 92.2 on MobileWorld-Real, and 97.2 on AndroidDaily, with an end-to-end success rate of 90%; Mobile Creative Agent can generate images within 3 seconds, roughly twice as fast as comparable products.

    obileWorld, MobileWorld-Real, and MobileWorld-Safety—covering planning, cross-app execution, real-device performance, and safety. These benchmarks correspond to the three types of agents released by Qwen Intelligence: Mobile Planner Agent ranks first on MobilePA-Bench, MobilePA-Bench Business, and Memory; Mobile-Use Agent scores 82.1 on MobileWorld, 92.2 on MobileWorld-Real, and 97.2 on AndroidDaily, with an end-to-end success rate of 90%; Mobile Creative Agent can generate images within 3 secon

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    #company#Model releases#Agents#Evaluations / benchmarks

Tuesday

  1. ElevenLabs Blog

    What is Human in the Loop (HITL)? Human-AI collaborative AI workflows

    Human in the Loop (HITL) is an AI workflow that allocates tasks to AI and humans according to preset boundaries: AI handles predictable, rule-based tasks, while humans handle complex decisions, compliance requirements, and edge cases. It is used both for review, approval, and handoff to humans in real-time business processes, and for data labeling, output evaluation, and error correction in machine learning development. ElevenLabs' ElevenAgents can be used to build such HITL workflows.

    Five human handoff triggers and a workflow that continues after a person takes over.

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    #company#Tutorials / practice#Agents#English text is being prepared.

Monday