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Tag: datasets

  • Cloud Blog: Introducing Vertex AI RAG Engine: Scale your Vertex AI RAG pipeline with confidence

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/introducing-vertex-ai-rag-engine/ Source: Cloud Blog Title: Introducing Vertex AI RAG Engine: Scale your Vertex AI RAG pipeline with confidence Feedly Summary: Closing the gap between impressive model demos and real-world performance is crucial for successfully deploying generative AI for enterprise. Despite the incredible capabilities of generative AI for enterprise, this perceived gap may be…

  • Cloud Blog: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/preprocessing-large-datasets-with-ray-and-gke/ Source: Cloud Blog Title: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise Feedly Summary: The exponential growth of machine learning models brings with it ever-increasing datasets. This data deluge creates a significant bottleneck in the Machine Learning Operations (MLOps) lifecycle, as traditional data preprocessing methods struggle to scale. The…

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

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    Kurt Seifried
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    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…

  • The Register: Nvidia shrinks Grace-Blackwell Superchip to power $3K mini PC

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/07/nvidia_project_digits_mini_pc/ Source: The Register Title: Nvidia shrinks Grace-Blackwell Superchip to power $3K mini PC Feedly Summary: Tuned for running chunky models on the desktop with 128GB of RAM, custom Ubuntu CES Nvidia has announced a desktop computer powered by a new GB10 Grace-Blackwell superchip and equipped with 128GB of memory to give AI…

  • Slashdot: Google Is Forming a New Team To Build AI That Can Simulate the Physical World

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/01/07/0031204/google-is-forming-a-new-team-to-build-ai-that-can-simulate-the-physical-world?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google Is Forming a New Team To Build AI That Can Simulate the Physical World Feedly Summary: AI Summary and Description: Yes Summary: Google DeepMind is forming a new team focused on developing AI models that simulate the physical world, led by Tim Brooks. This initiative aims to build…

  • The Register: Workday on lessons learned from Iowa and Maine project woes

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    system automation
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    Source URL: https://www.theregister.com/2025/01/02/workday_implementations_interview/ Source: The Register Title: Workday on lessons learned from Iowa and Maine project woes Feedly Summary: Nine in ten of our implementations are a success, CEO Carl Eschenbach tells The Reg Interview Workday CEO Carl Eschenbach insists more than 90 percent of the SaaS HR and finance application vendor’s rollouts are a…

  • Hacker News: Large Concept Models: Language modeling in a sentence representation space

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    system automation
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    Source URL: https://github.com/facebookresearch/large_concept_model Source: Hacker News Title: Large Concept Models: Language modeling in a sentence representation space Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the implementation and experiments related to Large Concept Models (LCMs) as part of language modeling in a semantic representation space. By utilizing SONAR embeddings for multiple…

  • Hacker News: The biggest AI flops of 2024

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    system automation
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    Source URL: https://www.technologyreview.com/2024/12/31/1109612/biggest-worst-ai-artificial-intelligence-flops-fails-2024/ Source: Hacker News Title: The biggest AI flops of 2024 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the proliferation of low-quality AI-generated content, termed “AI slop,” which poses risks not only to the credibility of AI outputs but also to public trust. It illustrates the impact of…

  • Hacker News: 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/ Source: Hacker News Title: Things we learned out about LLMs in 2024 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses significant advancements and trends in Large Language Models (LLMs) throughout 2024, highlighting new technologies, efficiency improvements, cost reductions, and issues such as model usability and environmental impact. It…