Experimental News Clipping Site

Tag: evaluation methods

  • Hacker News: The Einstein AI Model

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    Kurt Seifried
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    Source URL: https://thomwolf.io/blog/scientific-ai.html#follow-up Source: Hacker News Title: The Einstein AI Model Feedly Summary: Comments AI Summary and Description: Yes Summary: The text critiques the notion that AI will rapidly advance scientific discovery through a “compressed 21st century.” It argues that AI currently lacks the capacity to ask novel questions and challenge existing knowledge, a skill…

  • Hacker News: The Differences Between Deep Research, Deep Research, and Deep Research

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    Kurt Seifried
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    Source URL: https://leehanchung.github.io/blogs/2025/02/26/deep-research/ Source: Hacker News Title: The Differences Between Deep Research, Deep Research, and Deep Research Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the emergence and technical nuances of “Deep Research” in AI, especially its evolution from Retrieval-Augmented Generation (RAG). It highlights how different AI organizations are implementing this…

  • Cloud Blog: Evaluate gen AI models with Vertex AI evaluation service and LLM comparator

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/evaluate-ai-models-with-vertex-ai–llm-comparator/ Source: Cloud Blog Title: Evaluate gen AI models with Vertex AI evaluation service and LLM comparator Feedly Summary: It’s a persistent question: How do you know which generative AI model is the best choice for your needs? It all comes down to smart evaluation. In this post, we’ll share how to perform…

  • Hacker News: Automated Capability Discovery via Foundation Model Self-Exploration

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2502.07577 Source: Hacker News Title: Automated Capability Discovery via Foundation Model Self-Exploration Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper “Automated Capability Discovery via Model Self-Exploration” introduces a new framework (Automated Capability Discovery or ACD) designed to evaluate foundation models’ abilities by allowing one model to propose tasks for another…

  • Hacker News: PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2502.01584 Source: Hacker News Title: PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text discusses a new benchmark for evaluating the reasoning capabilities of large language models (LLMs), highlighting the difference between evaluating general knowledge compared to specialized knowledge.…

  • Hacker News: How to make LLMs shut up

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    system automation
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    Source URL: https://www.greptile.com/blog/make-llms-shut-up Source: Hacker News Title: How to make LLMs shut up Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the challenges and solutions encountered while developing an AI-powered code review bot, particularly focusing on the issue of excessive and often unhelpful comments generated by large language models (LLMs). The…

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

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    system automation
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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: LLMs know more than what they say

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    system automation
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    Source URL: https://arjunbansal.substack.com/p/llms-know-more-than-what-they-say Source: Hacker News Title: LLMs know more than what they say Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses advancements in evaluation techniques for generative AI applications, particularly focusing on reducing hallucination occurrences and improving evaluation accuracy through a method called Latent Space Readout (LSR). This approach demonstrates…