Experimental News Clipping Site

Tag: preprocessing

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

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    Kurt Seifried
    in

    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…

  • 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…

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

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    Kurt Seifried
    in

    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…

  • Hacker News: Fighting spam with Haskell at Meta (2015)

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    system automation
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    Source URL: https://engineering.fb.com/2015/06/26/security/fighting-spam-with-haskell/ Source: Hacker News Title: Fighting spam with Haskell at Meta (2015) Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses Facebook’s Sigma system, which is designed for proactively identifying and removing spam and abusive content. The significant improvement in performance and capability achieved through the transition from the custom…

  • Cloud Blog: Cloud Pub/Sub 2024 highlights: Native integrations, sharing and more

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    system automation
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    Source URL: https://cloud.google.com/blog/products/data-analytics/pubsub-highlights-of-2024/ Source: Cloud Blog Title: Cloud Pub/Sub 2024 highlights: Native integrations, sharing and more Feedly Summary: In today’s rapidly evolving digital landscape, organizations need to leverage real-time data for actionable insights and improved decision-making. Availability of real-time data is emerging as a key element to evolve and grow the business. Pub/Sub is Google…

  • Hacker News: AMD Releases ROCm Version 6.3

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    system automation
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    Source URL: https://insidehpc.com/2024/11/amd-releases-rocm-version-6-3/ Source: Hacker News Title: AMD Releases ROCm Version 6.3 Feedly Summary: Comments AI Summary and Description: Yes Summary: AMD’s ROCm Version 6.3 enhances AI and HPC workloads through its advanced features like SGLang for generative AI, optimized FlashAttention-2, integration of the AMD Fortran compiler, and new multi-node FFT support. This release is…

  • Hacker News: LLäMmlein 1B and 120M – German-only decoder models

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    system automation
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    Source URL: https://www.informatik.uni-wuerzburg.de/datascience/projects/nlp/llammlein/ Source: Hacker News Title: LLäMmlein 1B and 120M – German-only decoder models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes the development of two German-only decoder models, LLäMmlein 120M and 1B, highlighting their competitive performance against state-of-the-art models. This is particularly relevant for professionals in AI security and…

  • Hacker News: Show HN: Llama 3.2 Interpretability with Sparse Autoencoders

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    system automation
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    Source URL: https://github.com/PaulPauls/llama3_interpretability_sae Source: Hacker News Title: Show HN: Llama 3.2 Interpretability with Sparse Autoencoders Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text outlines a research project focused on the interpretability of the Llama 3 language model using Sparse Autoencoders (SAEs). This project aims to extract more clearly interpretable features from…

  • Cloud Blog: How to simplify building RAG pipelines in BigQuery with Document AI Layout Parser

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    system automation
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    Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-and-document-ai-layout-parser-for-document-preprocessing/ Source: Cloud Blog Title: How to simplify building RAG pipelines in BigQuery with Document AI Layout Parser Feedly Summary: Document preprocessing is a common hurdle when building retrieval-augmented generation (RAG) pipelines. It often requires Python skills and external libraries to parse documents like PDFs into manageable chunks that can be used to…

  • Cloud Blog: Getting started with NL2SQL (natural language to SQL) with Gemini and BigQuery

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    system automation
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    Source URL: https://cloud.google.com/blog/products/data-analytics/nl2sql-with-bigquery-and-gemini/ Source: Cloud Blog Title: Getting started with NL2SQL (natural language to SQL) with Gemini and BigQuery Feedly Summary: The rise of Natural Language Processing (NLP) combined with traditional Structured Query Language (SQL) has given rise to an exciting new technology known as Natural Language to SQL, or NL2SQL, which translates questions phrased…