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Tag: model reliability

  • Hacker News: Launch HN: Confident AI (YC W25) – Open-source evaluation framework for LLM apps

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    Kurt Seifried
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    Source URL: https://news.ycombinator.com/item?id=43116633 Source: Hacker News Title: Launch HN: Confident AI (YC W25) – Open-source evaluation framework for LLM apps Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text introduces “Confident AI,” a cloud platform designed to enhance the evaluation of Large Language Models (LLMs) through its open-source package, DeepEval. This tool facilitates…

  • Hacker News: Gemini 2.0 is now available to everyone

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    Kurt Seifried
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    Source URL: https://blog.google/technology/google-deepmind/gemini-model-updates-february-2025/ Source: Hacker News Title: Gemini 2.0 is now available to everyone Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines the launch and features of the Gemini 2.0 series of AI models by Google, highlighting advancements in performance, multimodal capabilities, and safety measures. It introduces several models tailored for…

  • Hacker News: Andrew Ng on DeepSeek

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    Kurt Seifried
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    Source URL: https://www.deeplearning.ai/the-batch/issue-286/ Source: Hacker News Title: Andrew Ng on DeepSeek Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text outlines significant advancements and trends in the field of generative AI, particularly emphasizing China’s emergence as a competitor to the U.S. in this domain, the implications of open weight models, and the innovative…

  • Slashdot: Anthropic Builds RAG Directly Into Claude Models With New Citations API

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/01/27/2129250/anthropic-builds-rag-directly-into-claude-models-with-new-citations-api Source: Slashdot Title: Anthropic Builds RAG Directly Into Claude Models With New Citations API Feedly Summary: AI Summary and Description: Yes Summary: Anthropic has introduced a new feature called Citations for its Claude models, enhancing their ability to provide accurate and traceable responses by linking answers directly to source documents. This development…

  • Hacker News: AI founders will learn The Bitter Lesson

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    Kurt Seifried
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    Source URL: https://lukaspetersson.github.io/blog/2025/bitter-vertical/ Source: Hacker News Title: AI founders will learn The Bitter Lesson Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text provides an in-depth analysis of the historical patterns in AI development, particularly highlighting the pitfalls of constrained AI solutions versus the benefits of leveraging computation for flexible,…

  • Hacker News: Measuring and Understanding LLM Identity Confusion

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    system automation
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    Source URL: https://arxiv.org/abs/2411.10683 Source: Hacker News Title: Measuring and Understanding LLM Identity Confusion Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses a research paper focused on “identity confusion” in Large Language Models (LLMs), which has implications for their originality and trustworthiness across various applications. With over a quarter of analyzed LLMs…

  • Hacker News: Task-Specific LLM Evals That Do and Don’t Work

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    Source URL: https://eugeneyan.com/writing/evals/ Source: Hacker News Title: Task-Specific LLM Evals That Do and Don’t Work Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a comprehensive overview of evaluation metrics for machine learning tasks, specifically focusing on classification, summarization, and translation within the context of large language models (LLMs). It highlights the…

  • Hacker News: CleaR: Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Labels

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    system automation
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    Source URL: https://arxiv.org/abs/2411.00873 Source: Hacker News Title: CleaR: Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Labels Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel approach to Parameter-Efficient Fine-Tuning (PEFT) designed to enhance model performance when working with noisy labeled data. This research is particularly relevant for professionals in AI,…

  • Hacker News: Everything I’ve learned so far about running local LLMs

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    system automation
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    Source URL: https://nullprogram.com/blog/2024/11/10/ Source: Hacker News Title: Everything I’ve learned so far about running local LLMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides an extensive exploration of Large Language Models (LLMs), detailing their evolution, practical applications, and implementation on personal hardware. It emphasizes the effects of LLMs on computing, discussions…

  • Hacker News: Computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku

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    system automation
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    Source URL: https://www.anthropic.com/news/3-5-models-and-computer-use Source: Hacker News Title: Computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku Feedly Summary: Comments AI Summary and Description: Yes Summary: The announcement introduces upgrades to the Claude AI models, particularly highlighting advancements in coding capabilities and the new feature of “computer use,” allowing the AI to interact with…