Experimental News Clipping Site

Tag: data workflows

  • Hacker News: LLM Workflows then Agents: Getting Started with Apache Airflow

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    Kurt Seifried
    in

    Source URL: https://github.com/astronomer/airflow-ai-sdk Source: Hacker News Title: LLM Workflows then Agents: Getting Started with Apache Airflow Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text presents an SDK for integrating large language models (LLMs) into Apache Airflow workflows. This novel approach enhances AI orchestration by providing refined task decorators that streamline calling LLMs,…

  • Cloud Blog: Use Gemini 2.0 to speed up document extraction and lower costs

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/use-gemini-2-0-to-speed-up-data-processing/ Source: Cloud Blog Title: Use Gemini 2.0 to speed up document extraction and lower costs Feedly Summary: A few weeks ago, Google DeepMind released Gemini 2.0 for everyone, including Gemini 2.0 Flash, Gemini 2.0 Flash-Lite, and Gemini 2.0 Pro (Experimental). All models support up to at least 1 million input tokens, which…

  • Cloud Blog: How to use gen AI for better data schema handling, data quality, and data generation

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    Kurt Seifried
    in

    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…

  • Hacker News: Will AI Agents Revolutionize How We Query and Use Data?

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    by

    Kurt Seifried
    in

    Source URL: https://news.ycombinator.com/item?id=43036779 Source: Hacker News Title: Will AI Agents Revolutionize How We Query and Use Data? Feedly Summary: Comments AI Summary and Description: Yes Summary: The introduction of AI Data Agents in Snowflake’s Cortex marks a significant shift in data workflows, moving from traditional query-driven methods to more dynamic goal-driven automation. By enabling agents…

  • Hacker News: Show HN: DataFuel.dev – Turn websites into LLM-ready data

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    system automation
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    Source URL: https://www.datafuel.dev/ Source: Hacker News Title: Show HN: DataFuel.dev – Turn websites into LLM-ready data Feedly Summary: Comments AI Summary and Description: Yes Summary: The text is highly relevant to the categories of LLM Security and MLOps as it discusses a platform that converts web content into datasets prepared for Large Language Models (LLMs).…

  • Simon Willison’s Weblog: datasette-enrichments-llm

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    system automation
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    Source URL: https://simonwillison.net/2024/Dec/5/datasette-enrichments-llm/#atom-everything Source: Simon Willison’s Weblog Title: datasette-enrichments-llm Feedly Summary: datasette-enrichments-llm Today’s new alpha release is datasette-enrichments-llm, a plugin for Datasette 1.0a+ that provides an enrichment that lets you run prompts against data from one or more column and store the result in another column. So far it’s a light re-implementation of the existing…

  • Hacker News: We need data engineering benchmarks for LLMs

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    system automation
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    Source URL: https://structuredlabs.substack.com/p/why-we-need-data-engineering-benchmarks Source: Hacker News Title: We need data engineering benchmarks for LLMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the shortcomings of existing benchmarks for evaluating the effectiveness of AI-driven tools in data engineering, specifically contrasting them with software engineering benchmarks. It highlights the unique challenges of data…