Experimental News Clipping Site

Tag: json

  • Cloud Blog: Accelerate analytics with AI-assisted data preparation in BigQuery, now GA

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/data-analytics/ai-assisted-bigquery-data-preparation-now-ga/ Source: Cloud Blog Title: Accelerate analytics with AI-assisted data preparation in BigQuery, now GA Feedly Summary: According to Gartner®, “Gartner clients now report that 90% or more of their time is spent preparing data (as high as 94% in complex industries) for advanced analytics, data science and data engineering.”1. Last year, we…

  • Simon Willison’s Weblog: Nomic Embed Code: A State-of-the-Art Code Retriever

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/27/nomic-embed-code/ Source: Simon Willison’s Weblog Title: Nomic Embed Code: A State-of-the-Art Code Retriever Feedly Summary: Nomic Embed Code: A State-of-the-Art Code Retriever Nomic have released a new embedding model that specializes in code, based on their CoRNStack “large-scale high-quality training dataset specifically curated for code retrieval". The nomic-embed-code model is pretty large –…

  • Cloud Blog: Build richer gen AI experiences using model endpoint management

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/databases/use-model-endpoint-management-on-alloydb/ Source: Cloud Blog Title: Build richer gen AI experiences using model endpoint management Feedly Summary: Model endpoint management is available on AlloyDB, AlloyDB Omni and Cloud SQL for PostgreSQL. Model endpoint management helps developers to build new experiences using SQL and provides a flexible interface to call gen AI models running anywhere…

  • Simon Willison’s Weblog: Function calling with Gemma

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/26/function-calling-with-gemma/#atom-everything Source: Simon Willison’s Weblog Title: Function calling with Gemma Feedly Summary: Function calling with Gemma Google’s Gemma 3 model (the 27B variant is particularly capable, I’ve been trying it out via Ollama) supports function calling exclusively through prompt engineering. The official documentation describes two recommended prompts – both of them suggest that…

  • Hacker News: Gemma3 Function Calling

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    Kurt Seifried
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    Source URL: https://ai.google.dev/gemma/docs/capabilities/function-calling Source: Hacker News Title: Gemma3 Function Calling Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text discusses function calling with a generative AI model named Gemma, including its structure, usage, and recommendations for code execution. This information is critical for professionals working with AI systems, particularly in understanding how…

  • Simon Willison’s Weblog: Putting Gemini 2.5 Pro through its paces

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/25/gemini/ Source: Simon Willison’s Weblog Title: Putting Gemini 2.5 Pro through its paces Feedly Summary: There’s a new release from Google Gemini this morning: the first in the Gemini 2.5 series. Google call it “a thinking model, designed to tackle increasingly complex problems". It’s already sat at the top of the LM Arena…

  • Hacker News: Show HN: Formal Verification for Machine Learning Models Using Lean 4

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    Kurt Seifried
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    Source URL: https://github.com/fraware/leanverifier Source: Hacker News Title: Show HN: Formal Verification for Machine Learning Models Using Lean 4 Feedly Summary: Comments AI Summary and Description: Yes Summary: The project focuses on the formal verification of machine learning models using the Lean 4 framework, targeting aspects like robustness, fairness, and interpretability. This framework is particularly relevant…

  • Cloud Blog: Build GraphRAG applications using Spanner Graph and LangChain

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/databases/using-spanner-graph-with-langchain-for-graphrag/ Source: Cloud Blog Title: Build GraphRAG applications using Spanner Graph and LangChain Feedly Summary: Spanner Graph redefines graph data management by integrating graph, relational, search, and AI capabilities with virtually unlimited scalability. GraphRAG has emerged as a frontrunner in building question-answering systems that enable organizations to extract relevant insights from their interconnected…