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Tag: model performance

  • Cloud Blog: Getting AI to write good SQL: Text-to-SQL techniques explained

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/databases/techniques-for-improving-text-to-sql/ Source: Cloud Blog Title: Getting AI to write good SQL: Text-to-SQL techniques explained Feedly Summary: Organizations depend on fast and accurate data-driven insights to make decisions, and SQL is at the core of how they access that data. With Gemini, Google can generate SQL directly from natural language — a.k.a. text-to-SQL. This…

  • Cloud Blog: AI Hypercomputer developer experience enhancements from Q1 25: build faster, scale bigger

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/ai-hypercomputer-enhancements-for-the-developer/ Source: Cloud Blog Title: AI Hypercomputer developer experience enhancements from Q1 25: build faster, scale bigger Feedly Summary: Building cutting-edge AI models is exciting, whether you’re iterating in your notebook or orchestrating large clusters. However, scaling up training can present significant challenges, including navigating complex infrastructure, configuring software and dependencies across numerous…

  • Simon Willison’s Weblog: Building software on top of Large Language Models

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/15/building-on-llms/#atom-everything Source: Simon Willison’s Weblog Title: Building software on top of Large Language Models Feedly Summary: I presented a three hour workshop at PyCon US yesterday titled Building software on top of Large Language Models. The goal of the workshop was to give participants everything they needed to get started writing code that…

  • Cloud Blog: Evaluate your gen media models with multimodal evaluation on Vertex AI

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/evaluate-your-gen-media-models-on-vertex-ai/ Source: Cloud Blog Title: Evaluate your gen media models with multimodal evaluation on Vertex AI Feedly Summary: The world of generative AI is moving fast, with models like Lyria, Imagen, and Veo now capable of producing stunningly realistic and imaginative images and videos from simple text prompts. However, evaluating these models is…

  • OpenAI : Introducing HealthBench

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    Kurt Seifried
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    Source URL: https://openai.com/index/healthbench Source: OpenAI Title: Introducing HealthBench Feedly Summary: HealthBench is a new evaluation benchmark for AI in healthcare which evaluates models in realistic scenarios. Built with input from 250+ physicians, it aims to provide a shared standard for model performance and safety in health. AI Summary and Description: Yes Summary: HealthBench is an…

  • Cloud Blog: Announcing new Vertex AI Prediction Dedicated Endpoints

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/reliable-ai-with-vertex-ai-prediction-dedicated-endpoints/ Source: Cloud Blog Title: Announcing new Vertex AI Prediction Dedicated Endpoints Feedly Summary: For AI developers building cutting-edge applications with large model sizes, a reliable foundation is non-negotiable. You need your AI to perform consistently, delivering results without hiccups, even under pressure. This means having dedicated resources that won’t get bogged down…

  • Cloud Blog: Palo Alto Networks’ journey to productionizing gen AI

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/partners/how-palo-alto-networks-builds-gen-ai-solutions/ Source: Cloud Blog Title: Palo Alto Networks’ journey to productionizing gen AI Feedly Summary: At Google Cloud, we empower businesses to accelerate their generative AI innovation cycle by providing a path from prototype to production. Palo Alto Networks, a global cybersecurity leader, partnered with Google Cloud to develop an innovative security posture…

  • Simon Willison’s Weblog: Quoting Mark Zuckerberg

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/1/mark-zuckerberg/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Mark Zuckerberg Feedly Summary: You also mentioned the whole Chatbot Arena thing, which I think is interesting and points to the challenge around how you do benchmarking. How do you know what models are good for which things? One of the things we’ve generally tried to…

  • Cloud Blog: Introducing BigQuery DataFrames 2.0 for the era of multimodal data science

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/data-analytics/a-closer-look-at-bigquery-dataframes-2-0/ Source: Cloud Blog Title: Introducing BigQuery DataFrames 2.0 for the era of multimodal data science Feedly Summary: For data scientists and ML engineers, building analysis and models in Python is almost second nature, and Python’s popularity in the data science community has only skyrocketed with the recent generative AI boom. We believe…