fromHackernoon1 year agoArtificial intelligenceA Comparative Study of Attention-Based MIL Architectures in Cancer Detection | HackerNoon
fromHackernoon3 months agoArtificial intelligenceWhen Smaller is Smarter: How Precision-Tuned AI Cracks Protein Mysteries | HackerNoon
fromHackernoon1 year agoArtificial intelligenceA Comparative Study of Attention-Based MIL Architectures in Cancer Detection | HackerNoon
fromHackernoon3 months agoArtificial intelligenceWhen Smaller is Smarter: How Precision-Tuned AI Cracks Protein Mysteries | HackerNoon
Artificial intelligencefromInfoQ1 month agoAnthropic Open-sources Tool to Trace the "Thoughts" of Large Language ModelsAnthropic has open-sourced a tool to trace internal workings of large language models during inference, enhancing interpretability and analysis.
Artificial intelligencefromInfoQ3 months agoAnthropic's "AI Microscope" Explores the Inner Workings of Large Language ModelsAnthropic's research aims to enhance the interpretability of large language models by using a novel AI microscope approach.
Artificial intelligencefromInfoQ1 month agoAnthropic Open-sources Tool to Trace the "Thoughts" of Large Language ModelsAnthropic has open-sourced a tool to trace internal workings of large language models during inference, enhancing interpretability and analysis.
Artificial intelligencefromInfoQ3 months agoAnthropic's "AI Microscope" Explores the Inner Workings of Large Language ModelsAnthropic's research aims to enhance the interpretability of large language models by using a novel AI microscope approach.
Artificial intelligencefromDarioamodei3 months agoDario Amodei - The Urgency of InterpretabilityAI's rapid development is inevitable, but its application can be positively influenced.
fromWIRED4 months agoAnthropic's Claude Is Good at Poetry-and BullshittingUnderstanding LLMs like Claude can improve safety and functionality, preventing misuse and enhancing model training.
Artificial intelligencefromArs Technica4 months agoResearchers astonished by tool's apparent success at revealing AI's hidden motivesAI models can unintentionally reveal hidden motives despite being designed to conceal them.Understanding AI's hidden objectives is crucial to prevent potential manipulation of human users.
Artificial intelligencefromtowardsdatascience.com5 months agoFormulation of Feature Circuits with Sparse Autoencoders in LLMSparse Autoencoders can help interpret Large Language Models despite challenges posed by superposition.Feature circuits in neural networks illustrate how input features combine to form complex patterns.