Experimental News Clipping Site

Tag: Inference

  • MCP Server Cloud – The Model Context Protocol Server Directory: MCP Server Replicate – MCP Server Integration

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    Kurt Seifried
    in

    Source URL: https://mcpserver.cloud/server/mcp-server-replicate Source: MCP Server Cloud – The Model Context Protocol Server Directory Title: MCP Server Replicate – MCP Server Integration Feedly Summary: AI Summary and Description: Yes **Summary:** The text describes a server implementation for the Replicate API focused primarily on AI model inference, particularly for image generation. It highlights various features, such…

  • Cloud Blog: How retailers are accelerating AI into production with NVIDIA and Google Cloud

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/retail/how-retailers-are-accelerating-ai-with-nvidia-and-google-cloud/ Source: Cloud Blog Title: How retailers are accelerating AI into production with NVIDIA and Google Cloud Feedly Summary: Retailers have always moved quickly to connect and match the latest merchandise with customers’ needs. And the same way they carefully design every inch of their stores, the time and thought that goes into…

  • Hacker News: SOTA on swebench-verified: relearning the bitter lesson

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    Kurt Seifried
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    Source URL: https://aide.dev/blog/sota-bitter-lesson Source: Hacker News Title: SOTA on swebench-verified: relearning the bitter lesson Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses advancements in AI, particularly around leveraging large language models (LLMs) for software engineering challenges through novel approaches such as test-time inference scaling. It emphasizes the key insight that scaling…

  • Slashdot: Nvidia’s Huang Says His AI Chips Are Improving Faster Than Moore’s Law

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/01/08/1338245/nvidias-huang-says-his-ai-chips-are-improving-faster-than-moores-law?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Nvidia’s Huang Says His AI Chips Are Improving Faster Than Moore’s Law Feedly Summary: AI Summary and Description: Yes Summary: Nvidia’s advancements in AI chip technology are significantly outpacing Moore’s Law, presenting new opportunities for innovation across the stack of architecture, systems, libraries, and algorithms. This progress will not…

  • Hacker News: Nvidia CEO says his AI chips are improving faster than Moore’s Law

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    Kurt Seifried
    in

    Source URL: https://techcrunch.com/2025/01/07/nvidia-ceo-says-his-ai-chips-are-improving-faster-than-moores-law/ Source: Hacker News Title: Nvidia CEO says his AI chips are improving faster than Moore’s Law Feedly Summary: Comments AI Summary and Description: Yes Summary: Jensen Huang, CEO of Nvidia, asserts that the performance of the company’s AI chips is advancing at a pace exceeding the historical benchmark of Moore’s Law. This…

  • Cloud Blog: Supervised Fine Tuning for Gemini: A best practices guide

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/master-gemini-sft/ Source: Cloud Blog Title: Supervised Fine Tuning for Gemini: A best practices guide Feedly Summary: Foundation models such as Gemini have revolutionized how we work, but sometimes they need guidance to excel at specific business tasks. Perhaps their answers are too long, or their summaries miss the mark. That’s where supervised fine-tuning…

  • Simon Willison’s Weblog: Quoting François Chollet

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    system automation
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    Source URL: https://simonwillison.net/2025/Jan/6/francois-chollet/#atom-everything Source: Simon Willison’s Weblog Title: Quoting François Chollet Feedly Summary: I don’t think people really appreciate how simple ARC-AGI-1 was, and what solving it really means. It was designed as the simplest, most basic assessment of fluid intelligence possible. Failure to pass signifies a near-total inability to adapt or problem-solve in unfamiliar…

  • Hacker News: The State of Generative Models

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    system automation
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    Source URL: https://nrehiew.github.io/blog/2024/ Source: Hacker News Title: The State of Generative Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a comprehensive overview of the advances in generative AI technologies, particularly focusing on Large Language Models (LLMs) and their architectures, image generation models, and emerging trends leading into 2025. It discusses…

  • Simon Willison’s Weblog: Things we learned out about LLMs in 2024

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    system automation
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    Source URL: https://simonwillison.net/2024/Dec/31/llms-in-2024/#atom-everything Source: Simon Willison’s Weblog Title: Things we learned out about LLMs in 2024 Feedly Summary: A lot has happened in the world of Large Language Models over the course of 2024. Here’s a review of things we figured out about the field in the past twelve months, plus my attempt at identifying…

  • Hacker News: KAG – Knowledge Graph RAG Framework

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    system automation
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    Source URL: https://github.com/OpenSPG/KAG Source: Hacker News Title: KAG – Knowledge Graph RAG Framework Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text introduces KAG (Knowledge Augmented Generation), a framework leveraging large language models (LLMs) to enhance logical reasoning and Q&A capabilities in specialized domains. It overcomes traditional challenges in vector similarity and graph…