--- layout: default title: Benchmarks and performance of Literal Labs AI models excerpt: Explore the benchmarks and performance metrics of Literal Labs' AI models, powered by Tsetlin Machines. ogtitle: Literal Labs benchmarks tags: Literal Labs benchmarks, Tsetlin Machine benchmarks, AI model performance, AI benchmarks, Literal Labs AI, Tsetlin Machine AI models, AI performance metrics, efficient AI models, AI benchmarking tools permalink: /benchmarks/index.html ogimage: /images/benchmarks/literal-labs-performance-benchmarks-og.webp cssheadinc: [/css/research.html] sitemap: exclude: 'no' breadcrumbs: - crumb: url: benchmarks/ title: Benchmarks ---
Edge AI for anomaly detection with ToyADMOS and MLPerf Tiny benchmark

Benchmarking Literal Labs' AI models

From energy consumption to speed, Literal Labs' unique approach to AI offers major advantages versus other machine learning techniques. To give you a deeper understanding of performance and capabilities, we occasionally publish new benchmark papers.

Other research

Our founders and engineers also publish research papers and code exploring our approach to various machine learning techniques, including Tsetlin Machines.

Anomaly detection with Tsetlin Machines and MLPerf Tiny: benchmark
Pump sounds and anomaly detection with Tsetlin Machines: benchmark
Tsetlin Machine versus XGBoost: benchmark