Tag: tasks

  • Cloud Blog: Connect Spark data pipelines to Gemini and other AI models with Dataproc ML library

    Source URL: https://cloud.google.com/blog/products/data-analytics/gemini-and-vertex-ai-for-spark-with-dataproc-ml-library/ Source: Cloud Blog Title: Connect Spark data pipelines to Gemini and other AI models with Dataproc ML library Feedly Summary: Many data science teams rely on Apache Spark running on Dataproc managed clusters for powerful, large-scale data preparation. As these teams look to connect their data pipelines directly to machine learning models,…

  • Cloud Blog: Accelerate AI with Agents: Event Series for Developers in EMEA

    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/accelerate-ai-with-agents-event-series-for-developers-in-emea/ Source: Cloud Blog Title: Accelerate AI with Agents: Event Series for Developers in EMEA Feedly Summary: The future of technology is unfolding across EMEA, and Google Cloud is at the forefront of this transformation. We’re organizing a series of exciting events across the region, offering a unique opportunity for developers and tech…

  • Cloud Blog: Building on the bananas momentum of generative media models on Google Cloud

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/building-momentum-for-gen-media-including-nano-banana-/ Source: Cloud Blog Title: Building on the bananas momentum of generative media models on Google Cloud Feedly Summary: It’s been exciting to see the capabilities of Nano Banana, our latest image editing model available in Gemini 2.5 Flash Image, go viral. And with transformative workflows like these, it is easy to see…

  • Docker: From Shell Scripts to Science Agents: How AI Agents Are Transforming Research Workflows

    Source URL: https://www.docker.com/blog/ai-science-agents-research-workflows/ Source: Docker Title: From Shell Scripts to Science Agents: How AI Agents Are Transforming Research Workflows Feedly Summary: It’s 2 AM in a lab somewhere. A researcher has three terminals open, a half-written Jupyter notebook on one screen, an Excel sheet filled with sample IDs on another, and a half-eaten snack next…

  • Docker: Fine-Tuning Local Models with Docker Offload and Unsloth

    Source URL: https://www.docker.com/blog/fine-tuning-models-with-offload-and-unsloth/ Source: Docker Title: Fine-Tuning Local Models with Docker Offload and Unsloth Feedly Summary: I’ve been experimenting with local models for a while now, and the progress in making them accessible has been exciting. Initial experiences are often fantastic, many models, like Gemma 3 270M, are lightweight enough to run on common hardware.…

  • Slashdot: Mira Murati’s Stealth AI Lab Launches Its First Product

    Source URL: https://slashdot.org/story/25/10/01/2226205/mira-muratis-stealth-ai-lab-launches-its-first-product?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Mira Murati’s Stealth AI Lab Launches Its First Product Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the launch of Tinker, an automated tool by Thinking Machines Lab that simplifies the fine-tuning of frontier AI models for various users including researchers, businesses, and enthusiasts. This innovation…

  • Simon Willison’s Weblog: Two more Chinese pelicans

    Source URL: https://simonwillison.net/2025/Oct/1/two-pelicans/#atom-everything Source: Simon Willison’s Weblog Title: Two more Chinese pelicans Feedly Summary: Two new models from Chinese AI labs in the past few days. I tried them both out using llm-openrouter: DeepSeek-V3.2-Exp from DeepSeek. Announcement, Tech Report, Hugging Face (690GB, MIT license). As an intermediate step toward our next-generation architecture, V3.2-Exp builds upon…

  • Anchore: Can an LLM Really Fix a Bug? A Start-to-Finish Case Study

    Source URL: https://anchore.com/blog/can-an-llm-really-fix-a-bug-a-start-to-finish-case-study/ Source: Anchore Title: Can an LLM Really Fix a Bug? A Start-to-Finish Case Study Feedly Summary: The software industry faces a growing problem: we have far more open issues than we have contributors multiplied by available time. Every project maintainer knows this pain. We certainly recognize this across our open source tools…