3 repos
Awesome GitHub RepositoriesBenchmarks
Standardized datasets and metrics used to evaluate and compare the performance or capabilities of software systems.
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Awesome Benchmarks GitHub Repositories
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- dair-ai/Prompt-Engineering-Guide
This project is a comprehensive educational resource and knowledge base dedicated to the development and application of large language models and autonomous agentic systems. It provides a structured framework for understanding prompt engineering, context management, and the architectural patterns required to build task
MDXagentagentsai-agents - keras-team/keras
Keras is a high-level deep learning framework designed for constructing and training neural networks through the composition of modular, functional layers. It serves as a comprehensive modeling toolkit that provides standardized procedures for defining, evaluating, and deploying complex architectures. By utilizing a di
Pythondata-sciencedeep-learningjax - BurntSushi/ripgrep
ripgrep is a command-line utility designed for searching through large file trees and source code repositories. It functions as a recursive text processor that traverses directories to locate and display matching patterns, serving as a high-performance alternative to traditional search tools. The tool distinguishes it
Rustclicommand-linecommand-line-tool
Explore sub-tags
- Decision Making BenchmarksEvaluation tasks focused on agentic decision-making capabilities.
- Knowledge BenchmarksEvaluation tasks focused on fact retrieval and knowledge-intensive reasoning.
- Model Performance BenchmarksProcedures for evaluating the computational efficiency of machine learning models across different hardware backends.
- Performance ClaimsDocumentation or assertions regarding the speed and efficiency of the software compared to alternatives.