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Linear workflow diagram illustrating GitLab continuous integration process with parallel testing and results analysis
Categories Artificial intelligence

Implement automated smoke testing using Amazon Nova Act headless mode | Amazon Web Services

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  • December 10, 2025

Automated smoke testing using Amazon Nova Act headless mode helps development teams validate core functionality in continuous integration and continuous delivery (CI/CD) pipelines. Development…

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Mistral AI Ships Devstral 2 Coding Models And Mistral Vibe CLI For Agentic, Terminal Native Development
Categories Artificial intelligence

Mistral AI Ships Devstral 2 Coding Models And Mistral Vibe CLI For Agentic, Terminal Native Development

  • By Asif Razzaq
  • December 10, 2025

Mistral AI has introduced Devstral 2, a next generation coding model family for software engineering agents, together with Mistral Vibe CLI, an open source…

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A Coding Guide to Build a Procedural Memory Agent That Learns, Stores, Retrieves, and Reuses Skills as Neural Modules Over Time
Categories Artificial intelligence

A Coding Guide to Build a Procedural Memory Agent That Learns, Stores, Retrieves, and Reuses Skills as Neural Modules Over Time

  • By Asif Razzaq
  • December 9, 2025

In this tutorial, we explore how an intelligent agent can gradually form procedural memory by learning reusable skills directly from its interactions with an…

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Real-world reasoning: How Amazon Nova Lite 2.0 handles complex customer support scenarios | Amazon Web Services
Categories Artificial intelligence

Real-world reasoning: How Amazon Nova Lite 2.0 handles complex customer support scenarios | Amazon Web Services

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  • December 9, 2025

Artificial intelligence (AI) reasoning capabilities determine whether models can handle complex, real-world tasks beyond simple pattern matching. With strong reasoning, models can identify problems…

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Jina AI Releases Jina-VLM: A 2.4B Multilingual Vision Language Model Focused on Token Efficient Visual QA
Categories Artificial intelligence

Jina AI Releases Jina-VLM: A 2.4B Multilingual Vision Language Model Focused on Token Efficient Visual QA

  • By Asif Razzaq
  • December 8, 2025

Jina AI has released Jina-VLM, a 2.4B parameter vision language model that targets multilingual visual question answering and document understanding on constrained hardware. The…

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How AWS delivers generative AI to the public sector in weeks, not years | Amazon Web Services
Categories Artificial intelligence

How AWS delivers generative AI to the public sector in weeks, not years | Amazon Web Services

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  • December 8, 2025

When critical services depend on quick action, from the safety of vulnerable children to environmental protection, you need working AI solutions in weeks, not…

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Cisco Released Cisco Time Series Model: Their First Open-Weights Foundation Model based on Decoder-only Transformer Architecture
Categories Artificial intelligence

Cisco Released Cisco Time Series Model: Their First Open-Weights Foundation Model based on Decoder-only Transformer Architecture

  • By Asif Razzaq
  • December 7, 2025

Cisco and Splunk have introduced the Cisco Time Series Model, a univariate zero shot time series foundation model designed for observability and security metrics.…

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OpenAGI Foundation Launches Lux: A Foundation Computer Use Model that Tops Online Mind2Web with OSGym At Scale
Categories Artificial intelligence

OpenAGI Foundation Launches Lux: A Foundation Computer Use Model that Tops Online Mind2Web with OSGym At Scale

  • By Michal Sutter
  • December 6, 2025

How do you turn slow, manual click work across browsers and desktops into a reliable, automated system that can actually use a computer for…

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AI Interview Series #4: Transformers vs Mixture of Experts (MoE)
Categories Artificial intelligence

AI Interview Series #4: Transformers vs Mixture of Experts (MoE)

  • By Arham Islam
  • December 4, 2025

Question: MoE models contain far more parameters than Transformers, yet they can run faster at inference. How is that…

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How to Build a Meta-Cognitive AI Agent That Dynamically Adjusts Its Own Reasoning Depth for Efficient Problem Solving
Categories Artificial intelligence

How to Build a Meta-Cognitive AI Agent That Dynamically Adjusts Its Own Reasoning Depth for Efficient Problem Solving

  • By Asif Razzaq
  • December 4, 2025

In this tutorial, we build an advanced meta-cognitive control agent that learns how to regulate its own depth of thinking. We treat reasoning as…

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