humaneval

We introduced a new model designed for the Code generation task. Its test accuracy on the HumanEval base dataset surpasses that of GPT-4 Turbo (April 2024) and GPT-4o.

Self-evaluating interview for AI coders

Run evaluation on LLMs using human-eval benchmark

SkyCode是一个多语言开源编程大模型，采用GPT3模型结构，支持Java, JavaScript, C, C++, Python, Go, shell等多种主流编程语言，并能理解中文注释。模型可以对代码进行补全，拥有强大解题能力，使您从编程中解放出来，专心于解决更重要的问题。| SkyCode is an open source programming model, which adopts the GPT3 model structure. It supports Java, JavaScript, C, C++, Python, Go, shell and other languages, and can understand Chinese comments.

Evaluate LLM-generated COBOL

Evaluating LLMs' Mathematical and Coding Competency through Ontology-guided Interventions

LLMs' performance analysis on CPU, GPU, Execution Time and Energy Usage

JetBrains Task: Leveraging software evolution data with LLMs

llm_benchmark is a comprehensive benchmarking tool for evaluating the performance of various Large Language Models (LLMs) on a range of natural language processing tasks. It provides a standardized framework for comparing different models based on accuracy, speed, and efficiency.