AutoCoder

A new model for code generation tasks, achieving a higher test accuracy than GPT-4 Turbo.

CommonProductProgrammingMachine LearningText Generation

AutoCoder is a novel model specifically designed for code generation tasks. It outperforms GPT-4 Turbo (as of April 2024) and GPT-4-o on the HumanEval benchmark dataset. Unlike previous open-source models, AutoCoder introduces a new feature: it can automatically install required packages and attempt to run the code when the user wishes to execute it, ensuring it works without issues.

Achieves 90.9% accuracy on the HumanEval benchmark dataset
surpassing GPT-4 Turbo.
Automatically installs required packages and attempts to run the code when needed.
Provides a code interpreter to verify the correctness of the code.
Offers a web demo
including the code interpreter functionality.
The model is available on Huggingface
including AutoCoder (33B) and AutoCoder-S (6.7B).
Supports testing in custom environments.

AutoCoder targets developers and programmers who need automatic code generation and validation. It helps them improve development efficiency and reduce time spent manually debugging code by providing high-accuracy code generation and automatic package installation.

Developers use AutoCoder to automatically generate code
accelerating development speed.
Educational institutions leverage AutoCoder for programming education
helping students understand the code generation process.
Businesses utilize AutoCoder for code quality control

Create a conda environment to prepare the testing environment.
Conduct tests on the HumanEval benchmark dataset to obtain test results.
Utilize the EvalPlus GitHub framework for result testing and post-processing.
Perform tests on MBPP and obtain and post-process test results.
Conduct tests on DS-1000 and directly test the results.

Visit

AutoCoder Visit Over Time

Monthly Visits

494758773

Bounce Rate

37.69%

Page per Visit

5.7

Visit Duration

00:06:29

AutoCoder Visit Trend

AutoCoder Visit Geography

AutoCoder Traffic Sources

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AutoCoder

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