Tag: interpretability

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

    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

    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

    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

    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

    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

    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"

    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…

  • Cloud Blog: XRefer: The Gemini-Assisted Binary Navigator

    Source URL: https://cloud.google.com/blog/topics/threat-intelligence/xrefer-gemini-assisted-binary-navigator/ Source: Cloud Blog Title: XRefer: The Gemini-Assisted Binary Navigator Feedly Summary: Written by: Muhammad Umair Here at Mandiant FLARE, malware reverse engineering is a regular part of our day jobs. At times we are required to perform basic triages on binaries, where every hour saved is critical to incident response timelines. At…

  • Cloud Blog: Unwrap 12 days of training to learn generative AI this December

    Source URL: https://cloud.google.com/blog/topics/training-certifications/12-days-of-training-to-learn-how-to-use-generative-ai/ Source: Cloud Blog Title: Unwrap 12 days of training to learn generative AI this December Feedly Summary: Tis the season for learning new skills! Get ready for 12 Days of Learning, a festive digital advent calendar packed with courses, hands-on labs, videos, and community opportunities—all designed to boost your generative AI expertise.…

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

    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:…