Artificial intelligencefromDarioamodei3 days agoDario Amodei - The Urgency of InterpretabilityAI's rapid development is inevitable, but its application can be positively influenced.
Artificial intelligencefromtowardsdatascience.com2 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.
fromHackernoon4 weeks agoArtificial intelligenceWhen Smaller is Smarter: How Precision-Tuned AI Cracks Protein Mysteries | HackerNoonQA task performance is evaluated through metrics like F1 score and MAE, ensuring accuracy in modeling.Model interpretability is analyzed through attention weights, providing insights into its reasoning process.
Artificial intelligencefromtowardsdatascience.com2 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.
fromHackernoon4 weeks agoArtificial intelligenceWhen Smaller is Smarter: How Precision-Tuned AI Cracks Protein Mysteries | HackerNoonQA task performance is evaluated through metrics like F1 score and MAE, ensuring accuracy in modeling.Model interpretability is analyzed through attention weights, providing insights into its reasoning process.
Artificial intelligencefromArs Technica1 month 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.