Polycoder

PolyCoder is a large language model designed for code generation and understanding across multiple programming languages. This AI-powered tool assists developers, educators, and researchers with tasks such as code completion, synthesis, and analysis.

Key features:
- Model Variants: Available in 160M, 400M, and 2.7B parameter sizes to suit various computational needs.
- Multilingual Support: Trained on 249 GB of code across 12 programming languages, including Python, JavaScript, Java, C, and C++.
- Code Generation: Produces code snippets from prompts for auto-completion, code synthesis, and educational purposes.
- Code Understanding: Performs tasks like code summarization, bug detection, and code review.
- Pre-trained Models: Accessible on Hugging Face for easy integration using the 'transformers' library.
- Evaluation Metrics: Provides perplexity scores for different programming languages to gauge model performance.

How it works:
1. Users load the model and tokenizer from the Hugging Face 'transformers' library.
2. A prompt or partial code snippet is provided as input.
3. The model generates code based on the input, offering multiple completion options.
4. Users can select and refine the generated code as needed.

Integrations:
Hugging Face, GPT-NeoX

Use of AI:
PolyCoder utilizes generative AI techniques to produce contextually relevant code based on input prompts. It can understand and generate code across multiple programming languages, assisting with tasks such as auto-completion, code synthesis, and code review.

AI foundation model:
PolyCoder is based on the GPT-2 architecture, known for its autoregressive capabilities. It was trained on a large dataset of code from GitHub repositories, enabling it to understand various coding styles and practices.

Target users:
- Developers seeking to enhance productivity with code generation and auto-completion
- Educators teaching programming and providing coding examples
- Researchers studying code generation and understanding models
- Organizations implementing automated code review and bug detection systems

How to access:
PolyCoder is available through the Hugging Face platform as a web app and API. It can also be deployed using Docker images for specific infrastructure needs.