Tag: large language models
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Tomasz Tunguz: Hidden Technical Debt in AI
Source URL: https://www.tomtunguz.com/hidden-technical-debt-in-ai/ Source: Tomasz Tunguz Title: Hidden Technical Debt in AI Feedly Summary: That little black box in the middle is machine learning code. I remember reading Google’s 2015 Hidden Technical Debt in ML paper & thinking how little of a machine learning application was actual machine learning. The vast majority was infrastructure, data…
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The Register: Boffins detail new algorithms to losslessly boost AI perf by up to 2.8x
Source URL: https://www.theregister.com/2025/07/17/new_algorithms_boost_ai_perf/ Source: The Register Title: Boffins detail new algorithms to losslessly boost AI perf by up to 2.8x Feedly Summary: New spin on speculative decoding works with any model – now built into Transformers We all know that AI is expensive, but a new set of algorithms developed by researchers at the Weizmann…
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The Register: German team warns ChatGPT is changing how you talk
Source URL: https://www.theregister.com/2025/07/15/chatgpt_changes_language/ Source: The Register Title: German team warns ChatGPT is changing how you talk Feedly Summary: Let us delve swiftly into meticulous inquiry with our AI masters Like it or not, ChatGPT and other large language models are changing the world, including affecting how we speak, claims a group of researchers, and the…
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Docker: AI-Powered Testing: Using Docker Model Runner with Microcks for Dynamic Mock APIs
Source URL: https://www.docker.com/blog/ai-powered-mock-apis-for-testing-with-docker-and-microcks/ Source: Docker Title: AI-Powered Testing: Using Docker Model Runner with Microcks for Dynamic Mock APIs Feedly Summary: The non-deterministic nature of LLMs makes them ideal for generating dynamic, rich test data, perfect for validating app behavior and ensuring consistent, high-quality user experiences. Today, we’ll walk you through how to use Docker’s Model…