Experimental News Clipping Site

Tag: Evaluation Metrics

  • 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…

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

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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:…

  • Hacker News: We need data engineering benchmarks for LLMs

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    Source URL: https://structuredlabs.substack.com/p/why-we-need-data-engineering-benchmarks Source: Hacker News Title: We need data engineering benchmarks for LLMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the shortcomings of existing benchmarks for evaluating the effectiveness of AI-driven tools in data engineering, specifically contrasting them with software engineering benchmarks. It highlights the unique challenges of data…

  • Hacker News: Full LLM training and evaluation toolkit

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    Source URL: https://github.com/huggingface/smollm Source: Hacker News Title: Full LLM training and evaluation toolkit Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces SmolLM2, a family of compact language models with varying parameters designed for lightweight, on-device applications, and details on how they can be utilized in different scenarios. Such advancements in AI…

  • Hacker News: Evaluating the World Model Implicit in a Generative Model

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    Source URL: https://arxiv.org/abs/2406.03689 Source: Hacker News Title: Evaluating the World Model Implicit in a Generative Model Feedly Summary: Comments AI Summary and Description: Yes Summary: This paper delves into the evaluation of world models implicitly learned by generative models, particularly large language models (LLMs). It highlights the potential limitations and fragilities of these models in…

  • Scott Logic: Testing GenerativeAI Chatbot Models

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    Source URL: https://blog.scottlogic.com/2024/11/01/Testing-GenerativeAI-Chatbots.html Source: Scott Logic Title: Testing GenerativeAI Chatbot Models Feedly Summary: In the fast-changing world of digital technology, GenAI systems have emerged as revolutionary tools for businesses and individuals. As these intelligent systems become a bigger part of our lives, it is important to understand their functionality and to ensure their effectiveness. In…

  • Hamel’s Blog: Creating a LLM-as-a-Judge That Drives Business Results

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    Source URL: https://hamel.dev/blog/posts/llm-judge/ Source: Hamel’s Blog Title: Creating a LLM-as-a-Judge That Drives Business Results Feedly Summary: Earlier this year, I wrote Your AI product needs evals. Many of you asked, “How do I get started with LLM-as-a-judge?” This guide shares what I’ve learned after helping over 30 companies set up their evaluation systems. The Problem:…

  • METR Blog – METR: An update on our general capability evaluations

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    Source URL: https://metr.org/blog/2024-08-06-update-on-evaluations/ Source: METR Blog – METR Title: An update on our general capability evaluations Feedly Summary: AI Summary and Description: Yes **Summary:** The provided text discusses the development of evaluation metrics for AI capabilities, particularly focusing on autonomous systems. It aims to create measures that can assess general autonomy rather than solely relying…

  • Slashdot: Study Done By Apple AI Scientists Proves LLMs Have No Ability to Reason

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    Source URL: https://apple.slashdot.org/story/24/10/13/2145256/study-done-by-apple-ai-scientists-proves-llms-have-no-ability-to-reason?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Study Done By Apple AI Scientists Proves LLMs Have No Ability to Reason Feedly Summary: AI Summary and Description: Yes Summary: A recent study by Apple’s AI scientists reveals significant weaknesses in the reasoning capabilities of large language models (LLMs), such as those developed by OpenAI and Meta. The…

  • Hacker News: Two kinds of LLM responses: Informational vs. Instructional

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    Source URL: https://shabie.github.io/2024/09/23/two-kinds-llm-responses.html Source: Hacker News Title: Two kinds of LLM responses: Informational vs. Instructional Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses distinct response types from Large Language Models (LLMs) in the context of Retrieval-Augmented Generation (RAG), highlighting the implications for evaluation metrics. It emphasizes the importance of recognizing informational…