Experimental News Clipping Site

Tag: world applications

  • Docker: LoRA Explained: Faster, More Efficient Fine-Tuning with Docker

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/lora-explained/ Source: Docker Title: LoRA Explained: Faster, More Efficient Fine-Tuning with Docker Feedly Summary: Fine-tuning a language model doesn’t have to be daunting. In our previous post on fine-tuning models with Docker Offload and Unsloth, we walked through how to train small, local models efficiently using Docker’s familiar workflows. This time, we’re narrowing…

  • Cloud Blog: Want to get building production-ready AI agents? Here’s where startups should start.

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/startups/startup-guide-ai-agents-production-ready-ai-how-to/ Source: Cloud Blog Title: Want to get building production-ready AI agents? Here’s where startups should start. Feedly Summary: Startups are using agentic AI to automate complex workflows, create novel user experiences, and solve business problems that were once considered technically impossible. Still, charting the optimal path forward — especially with the integration…

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

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    Kurt Seifried
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    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…

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

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    Kurt Seifried
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    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.…

  • Cloud Blog: Announcing Claude Sonnet 4.5 on Vertex AI

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/announcing-claude-sonnet-4-5-on-vertex-ai/ Source: Cloud Blog Title: Announcing Claude Sonnet 4.5 on Vertex AI Feedly Summary: Today, we’re announcing the general availability of Claude Sonnet 4.5, Anthropic’s most intelligent model and its best-performing model for complex agents, coding, and computer use, on Vertex AI.Claude Sonnet 4.5 is built to work independently for hours, maintaining clarity…

  • Slashdot: New Claude Model Runs 30-Hour Marathon To Create 11,000-Line Slack Clone

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    Kurt Seifried
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    Source URL: https://developers.slashdot.org/story/25/09/29/1733238/new-claude-model-runs-30-hour-marathon-to-create-11000-line-slack-clone?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: New Claude Model Runs 30-Hour Marathon To Create 11,000-Line Slack Clone Feedly Summary: AI Summary and Description: Yes Summary: Anthropic’s release of Claude Sonnet 4.5 marks a significant advancement in autonomous AI capabilities, particularly in code generation and application development. This model can substantially improve productivity for developers by…

  • Tomasz Tunguz: Modernizing Agent Tools with Google ADK Patterns: 60% Token Reduction & Enterprise Safety

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    Kurt Seifried
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    Source URL: https://www.tomtunguz.com/modernizing-agent-tools-with-google-adk-patterns/ Source: Tomasz Tunguz Title: Modernizing Agent Tools with Google ADK Patterns: 60% Token Reduction & Enterprise Safety Feedly Summary: I recently discovered Google’s Agent Development Kit (ADK) and its architectural patterns for building LLM-powered applications. While ADK is a Python framework, its core design principles proved transformative when applied to my existing…

  • OpenAI : Measuring the performance of our models on real-world tasks

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    Kurt Seifried
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    Source URL: https://openai.com/index/gdpval Source: OpenAI Title: Measuring the performance of our models on real-world tasks Feedly Summary: OpenAI introduces GDPval-v0, a new evaluation that measures model performance on real-world economically valuable tasks across 44 occupations. AI Summary and Description: Yes Summary: OpenAI’s introduction of GDPval-v0 represents a significant advancement in evaluating AI model performance, particularly…

  • Simon Willison’s Weblog: CompileBench: Can AI Compile 22-year-old Code?

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/22/compilebench/ Source: Simon Willison’s Weblog Title: CompileBench: Can AI Compile 22-year-old Code? Feedly Summary: CompileBench: Can AI Compile 22-year-old Code? Interesting new LLM benchmark from Piotr Grabowski and Piotr Migdał: how well can different models handle compilation challenges such as cross-compiling gucr for ARM64 architecture? This is one of my favorite applications of…

  • Cloud Blog: Agent Factory Recap: Deep Dive into Gemini CLI with Taylor Mullen

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/agent-factory-recap-deep-dive-into-gemini-cli-with-taylor-mullen/ Source: Cloud Blog Title: Agent Factory Recap: Deep Dive into Gemini CLI with Taylor Mullen Feedly Summary: In the latest episode of the Agent Factory podcast, Amit Miraj and I took a deep dive into the Gemini CLI. We were joined by the creator of the Gemini CLI, Taylor Mullen, who shared…