Tag: Gretel
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Wired: Nvidia Bets Big on Synthetic Data
Source URL: https://www.wired.com/story/nvidia-gretel-acquisition-synthetic-training-data/ Source: Wired Title: Nvidia Bets Big on Synthetic Data Feedly Summary: Nvidia has acquired synthetic data startup Gretel to bolster the AI training data used by the chip maker’s customers and developers. AI Summary and Description: Yes Summary: Nvidia’s acquisition of Gretel, a synthetic data firm, aims to enhance its generative AI…
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Cloud Blog: How to use gen AI for better data schema handling, data quality, and data generation
Source URL: https://cloud.google.com/blog/products/data-analytics/how-gemini-in-bigquery-helps-with-data-engineering-tasks/ Source: Cloud Blog Title: How to use gen AI for better data schema handling, data quality, and data generation Feedly Summary: In the realm of data engineering, generative AI models are quietly revolutionizing how we handle, process, and ultimately utilize data. For example, large language models (LLMs) can help with data schema…
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Cloud Blog: A practical guide to synthetic data generation with Gretel and BigQuery DataFrames
Source URL: https://cloud.google.com/blog/products/data-analytics/synthetic-data-generation-with-gretel-and-bigquery-dataframes/ Source: Cloud Blog Title: A practical guide to synthetic data generation with Gretel and BigQuery DataFrames Feedly Summary: In our previous post, we explored how integrating Gretel with BigQuery DataFrames streamlines synthetic data generation while preserving data privacy. To recap, BigQuery DataFrames is a Python client for BigQuery, providing pandas-compatible APIs with…
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Cloud Blog: Generating synthetic data with BigQuery and Gretel
Source URL: https://cloud.google.com/blog/products/data-analytics/create-synthetic-data-with-gretel-in-bigquery/ Source: Cloud Blog Title: Generating synthetic data with BigQuery and Gretel Feedly Summary: Big data and AI have revolutionized how businesses operate, but also present new challenges, particularly concerning data privacy and accessibility. Organizations increasingly rely on large datasets to train machine learning models and develop data-driven insights, but accessing and using…