Experimental News Clipping Site

Tag: interpretability

  • Hacker News: Show HN: Value likelihoods for OpenAI structured output

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    Kurt Seifried
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    Source URL: https://arena-ai.github.io/structured-logprobs/ Source: Hacker News Title: Show HN: Value likelihoods for OpenAI structured output Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the open-source Python library “structured-logprobs,” which enhances the understanding and reliability of outputs from OpenAI’s Language Learning Models (LLM) by providing detailed log probability information. This offers valuable…

  • Cloud Blog: Supervised Fine Tuning for Gemini: A best practices guide

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/master-gemini-sft/ Source: Cloud Blog Title: Supervised Fine Tuning for Gemini: A best practices guide Feedly Summary: Foundation models such as Gemini have revolutionized how we work, but sometimes they need guidance to excel at specific business tasks. Perhaps their answers are too long, or their summaries miss the mark. That’s where supervised fine-tuning…

  • Hacker News: The State of Generative Models

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    system automation
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    Source URL: https://nrehiew.github.io/blog/2024/ Source: Hacker News Title: The State of Generative Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a comprehensive overview of the advances in generative AI technologies, particularly focusing on Large Language Models (LLMs) and their architectures, image generation models, and emerging trends leading into 2025. It discusses…

  • Hacker News: Identifying and Manipulating LLM Personality Traits via Activation Engineering

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    Source URL: https://arxiv.org/abs/2412.10427 Source: Hacker News Title: Identifying and Manipulating LLM Personality Traits via Activation Engineering Feedly Summary: Comments AI Summary and Description: Yes Summary: The research paper discusses a novel method called “activation engineering” for identifying and adjusting personality traits in large language models (LLMs). This exploration not only contributes to the interpretability of…

  • Hacker News: Explaining Large Language Models Decisions Using Shapley Values

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    Source URL: https://arxiv.org/abs/2404.01332 Source: Hacker News Title: Explaining Large Language Models Decisions Using Shapley Values Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper explores the use of Shapley values to interpret decisions made by large language models (LLMs), highlighting how these models can exhibit cognitive biases and “token noise” effects. This work…

  • Hacker News: AIs Will Increasingly Fake Alignment

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    Source URL: https://thezvi.substack.com/p/ais-will-increasingly-fake-alignment Source: Hacker News Title: AIs Will Increasingly Fake Alignment Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses significant findings from a research paper by Anthropic and Redwood Research on “alignment faking” in large language models (LLMs), particularly focusing on the model named Claude. The results reveal how AI…

  • Hacker News: Show HN: Llama 3.3 70B Sparse Autoencoders with API access

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    Source URL: https://www.goodfire.ai/papers/mapping-latent-spaces-llama/ Source: Hacker News Title: Show HN: Llama 3.3 70B Sparse Autoencoders with API access Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses innovative advancements made with the Llama 3.3 70B model, particularly the development and release of sparse autoencoders (SAEs) for interpretability and feature steering. These tools enhance…

  • 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:…

  • 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:…

  • Simon Willison’s Weblog: Gemini 2.0 Flash "Thinking mode"

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    Source URL: https://simonwillison.net/2024/Dec/19/gemini-thinking-mode/#atom-everything Source: Simon Willison’s Weblog Title: Gemini 2.0 Flash "Thinking mode" Feedly Summary: Those new model releases just keep on flowing. Today it’s Google’s snappily named gemini-2.0-flash-thinking-exp, their first entrant into the o1-style inference scaling class of models. I posted about a great essay about the significance of these just this morning. From…