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  • All (2680) +357
    • AI (585) +26
    • DevOps (154) +6
    • Software (1140) +205
    • IT (795) +119
    • Education (6) +1
  • Notice
  • All (2680) +357
  • AI (585) +26
  • DevOps (154) +6
  • Software (1140) +205
  • IT (795) +119
  • Education (6) +1
  • Notice
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  • 1 day ago · ai

    From Prompts to Autonomous Ecosystems: My Learning Journey in the 5-Day Google x Kaggle AI Agents Intensive

    Over the last five days I took the Google × Kaggle AI Agents Intensive Course – a journey that began with “learning how to prompt better” and quickly expanded i...

    #AI agents #prompt engineering #agent architecture #autonomous systems #Google AI #Kaggle #memory in AI #collaborative AI #LLM #machine learning
  • 1 day ago · ai

    Nvidia's new AI framework trains an 8B model to manage tools like a pro

    Researchers at Nvidia and the University of Hong Kong have released Orchestrator, an 8-billion-parameter model that coordinates different tools and large langua...

    #Nvidia #Orchestrator #LLM orchestration #8B model #AI framework
  • 1 day ago · ai

    Autonomous Agents Visiting Data

    !Cover image for Autonomous Agents Visiting Datahttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-t...

    #autonomous agents #data interaction #AI agents #machine learning #Google AI Agents Writing Challenge #reflections
  • 1 day ago · ai

    Experience

    Overview The AI Agents Intensive was a highly valuable learning experience for me. Even though I could attend only a limited part of the program, it still help...

    #AI agents #prompt engineering #tool integration #workflow automation #AI learning #Kaggle #AI development
  • 1 day ago · ai

    [Paper] GRASP: GRouped Activation Shared Parameterization for Parameter-Efficient Fine-Tuning and Robust Inference of Transformers

    Parameter-efficient fine-tuning (PEFT) provides a scalable alternative to full-model adaptation by updating only a small subset of parameters in large pre-train...

    #research #paper #ai #machine-learning
  • 1 day ago · ai

    AI in 2026: The Tale of Two AIs

    The post AI in 2026: The Tale of Two AIs appeared first on Sequoia Capital....

    #AI #future #2026 #predictions #Sequoia
  • 1 day ago · ai

    Gemini 3 Pro scores 69% trust in blinded testing up from 16% for Gemini 2.5: The case for evaluating AI on real-world trust, not academic benchmarks

    Just a few short weeks ago, Google debuted its Gemini 3 model, claiming it scored a leadership position in multiple AI benchmarks. But the challenge with vendor...

    #Gemini 3 #trustworthiness #AI evaluation #benchmarking #large language models #Google AI #Prolific study
  • 1 day ago · ai

    Beyond Chatbots: My First Steps into the World of AI Agents

    What Changed My Mind? The biggest takeaway for me was learning the difference between a standard LLM and an AI Agent. LLMs talk: They are great at predicting t...

    #AI agents #large language models #ChatGPT #Kaggle AI Agents Intensive #autonomous AI #prompt engineering #LLM vs agent
  • 2 days ago · ai

    Everyone in Seattle Hates AI

    Article URL: https://jonready.com/blog/posts/everyone-in-seattle-hates-ai.html Comments URL: https://news.ycombinator.com/item?id=46138952 Points: 20 Comments:...

    #AI #Seattle #public perception #tech community #ethics
  • 2 days ago · ai

    Everyone in Seattle hates AI

    Article URL: https://jonready.com/blog/posts/everyone-in-seattle-hates-ai.html Comments URL: https://news.ycombinator.com/item?id=46138952 Points: 178 Comments:...

    #AI backlash #public perception #Seattle tech community #AI ethics #AI adoption
  • 2 days ago · ai

    MIT engineers design an aerial microrobot that can fly as fast as a bumblebee

    With insect-like speed and agility, the tiny robot could someday aid in search-and-rescue missions....

    #ai #ai-research #academia
  • 2 days ago · ai

    [Paper] SimFlow: Simplified and End-to-End Training of Latent Normalizing Flows

    Normalizing Flows (NFs) learn invertible mappings between the data and a Gaussian distribution. Prior works usually suffer from two limitations. First, they add...

    #research #paper #ai #computer-vision

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