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Tag: large datasets

  • The Register: Foundation model for tabular data slashes training from hours to seconds

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/15/foundation_model_tabular_data/ Source: The Register Title: Foundation model for tabular data slashes training from hours to seconds Feedly Summary: Good ol’ spreadsheet data could benefit from ‘revolutionary’ approach to ML inferences Move over ChatGPT and DALL-E: Spreadsheet data is getting its own foundation machine learning model, allowing users to immediately make inferences about new…

  • Cloud Blog: How inference at the edge unlocks new AI use cases for retailers

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/retail/ai-for-retailers-boost-roi-without-straining-budget-or-resources/ Source: Cloud Blog Title: How inference at the edge unlocks new AI use cases for retailers Feedly Summary: For retailers, making intelligent, data-driven decisions in real-time isn’t an advantage — it’s a necessity. Staying ahead of the curve means embracing AI, but many retailers hesitate to adopt because it’s costly to overhaul…

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

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    Kurt Seifried
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    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…

  • 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…

  • 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: Things we learned out about LLMs in 2024

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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…

  • Hacker News: KAG – Knowledge Graph RAG Framework

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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…

  • Hacker News: Why are we using LLMs as calculators?

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    Source URL: https://vickiboykis.com/2024/11/09/why-are-we-using-llms-as-calculators/ Source: Hacker News Title: Why are we using LLMs as calculators? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the challenges and motivations behind using large language models (LLMs) for mathematical reasoning and calculations. It highlights the historical context of computing and the evolution of tasks from simple…

  • AWS News Blog: New physical AWS Data Transfer Terminals let you upload to the cloud faster

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    system automation
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    Source URL: https://aws.amazon.com/blogs/aws/new-physical-aws-data-transfer-terminals-let-you-upload-to-the-cloud-faster/ Source: AWS News Blog Title: New physical AWS Data Transfer Terminals let you upload to the cloud faster Feedly Summary: Rapidly upload large datasets to AWS at blazing speeds with the new AWS Data Transfer Terminal, secure physical locations offering high throughput connection. AI Summary and Description: Yes Summary: The announcement details…