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Tag: prompting techniques

  • Cloud Blog: The University of Hawaii is helping the state retain top talent with Google AI

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/public-sector/the-university-of-hawaii-is-helping-the-state-retain-top-talent-with-google-ai/ Source: Cloud Blog Title: The University of Hawaii is helping the state retain top talent with Google AI Feedly Summary: As the Hawaiian Islands’ primary higher education resource, the University of Hawaii (UH) System faces a unique challenge among U.S. universities: many graduates–including those with deep family roots in Hawaii – are…

  • Cloud Blog: Vertex AI Studio, redesigned: Your source for generative AI media models across all modalities

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/vertex-ai-studio-redesigned/ Source: Cloud Blog Title: Vertex AI Studio, redesigned: Your source for generative AI media models across all modalities Feedly Summary: Google Cloud’s Vertex AI platform makes it easy to experiment with and customize over 200 advanced foundation models – like the latest Google Gemini models, and third-party partner models such as Meta’s…

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

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    Kurt Seifried
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    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…

  • 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…

  • Hacker News: Evaluating modular RAG with reasoning models

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    Kurt Seifried
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    Source URL: https://www.kapa.ai/blog/evaluating-modular-rag-with-reasoning-models Source: Hacker News Title: Evaluating modular RAG with reasoning models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines the challenges and potential of Modular Retrieval-Augmented Generation (RAG) systems using reasoning models like o3-mini. It emphasizes the distinction between reasoning capabilities and practical experience in tool usage, highlighting insights…

  • Simon Willison’s Weblog: Leaked Windsurf prompt

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/25/leaked-windsurf-prompt/ Source: Simon Willison’s Weblog Title: Leaked Windsurf prompt Feedly Summary: Leaked Windsurf prompt The Windurf Editor is Codeium’s highly regarded entrant into the fork-of-VS-code AI-enhanced IDE model first pioneered by Cursor (and by VS Code itself). I heard online that it had a quirky system prompt, and was able to replicate that…

  • Hacker News: AI Engineer Reading List

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    Kurt Seifried
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    Source URL: https://www.latent.space/p/2025-papers Source: Hacker News Title: AI Engineer Reading List Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text focuses on providing a curated reading list for AI engineers, particularly emphasizing recent advancements in large language models (LLMs) and related AI technologies. It is a practical guide designed to enhance the knowledge…

  • Hacker News: OK, I can partly explain the LLM chess weirdness now

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    system automation
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    Source URL: https://dynomight.net/more-chess/ Source: Hacker News Title: OK, I can partly explain the LLM chess weirdness now Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text explores the unexpected performance of the GPT-3.5-turbo-instruct model in playing chess compared to other large language models (LLMs), primarily focusing on the effectiveness of prompting techniques, instruction…