Experimental News Clipping Site

Tag: correctness

  • Hacker News: Entropy of a Large Language Model output

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    Kurt Seifried
    in

    Source URL: https://nikkin.dev/blog/llm-entropy.html Source: Hacker News Title: Entropy of a Large Language Model output Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text discusses the functionalities and implications of large language models (LLMs) like ChatGPT from an information theoretic perspective, particularly focusing on concepts such as token generation and entropy. This examination provides…

  • Hacker News: Preventing conflicts in authoritative DNS config using formal verification

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    Kurt Seifried
    in

    Source URL: https://blog.cloudflare.com/topaz-policy-engine-design/ Source: Hacker News Title: Preventing conflicts in authoritative DNS config using formal verification Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text describes a technical advancement by Cloudflare, focusing on their formal verification process for DNS addressing behavior within their systems, particularly through a tool called Topaz. This approach…

  • The Register: Can AWS really fix AI hallucination? We talk to head of Automated Reasoning Byron Cook

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/07/interview_with_aws_byron_cook/ Source: The Register Title: Can AWS really fix AI hallucination? We talk to head of Automated Reasoning Byron Cook Feedly Summary: Engineer who works on ways to prove code’s mathematically correct finds his field’s suddenly much less obscure Interview A notable flaw of AI is its habit of “hallucinating," making up plausible…

  • Hacker News: The Evolution of SRE at Google

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    system automation
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    Source URL: https://www.usenix.org/publications/loginonline/evolution-sre-google Source: Hacker News Title: The Evolution of SRE at Google Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the evolution of Site Reliability Engineering (SRE) at Google, emphasizing the challenges posed by increasing system complexity and the need for a paradigm shift in how reliability is approached. It…

  • The Cloudflare Blog: Behind the scenes with Stream Live, Cloudflare’s live streaming service

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    system automation
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    Source URL: https://blog.cloudflare.com/behind-the-scenes-with-stream-live-cloudflares-live-streaming-service/ Source: The Cloudflare Blog Title: Behind the scenes with Stream Live, Cloudflare’s live streaming service Feedly Summary: Let’s talk about Stream Live’s design, and how it leverages the distributed nature of Cloudflare’s network, rather than centralized locations as many other live services do. AI Summary and Description: Yes Summary: The text provides…

  • Hacker News: Empirical Study of Test Generation with LLM’s

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    system automation
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    Source URL: https://arxiv.org/abs/2406.18181 Source: Hacker News Title: Empirical Study of Test Generation with LLM’s Feedly Summary: Comments AI Summary and Description: Yes Summary: This paper evaluates the use of Large Language Models (LLMs) for automating unit test generation in software development, focusing on open-source models. It emphasizes the importance of prompt engineering and the advantages…

  • AWS News Blog: New RAG evaluation and LLM-as-a-judge capabilities in Amazon Bedrock

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    system automation
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    Source URL: https://aws.amazon.com/blogs/aws/new-rag-evaluation-and-llm-as-a-judge-capabilities-in-amazon-bedrock/ Source: AWS News Blog Title: New RAG evaluation and LLM-as-a-judge capabilities in Amazon Bedrock Feedly Summary: Evaluate AI models and applications efficiently with Amazon Bedrock’s new LLM-as-a-judge capability for model evaluation and RAG evaluation for Knowledge Bases, offering a variety of quality and responsible AI metrics at scale. AI Summary and Description:…

  • AWS News Blog: New RAG evaluation and LLM-as-a-judge capabilities in Amazon Bedrock

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    by

    system automation
    in

    Source URL: https://aws.amazon.com/blogs/aws/new-rag-evaluation-and-llm-as-a-judge-capabilities-in-amazon-bedrock/ Source: AWS News Blog Title: New RAG evaluation and LLM-as-a-judge capabilities in Amazon Bedrock Feedly Summary: Evaluate AI models and applications efficiently with Amazon Bedrock’s new LLM-as-a-judge capability for model evaluation and RAG evaluation for Knowledge Bases, offering a variety of quality and responsible AI metrics at scale. AI Summary and Description:…