What is Mellum
Mellum is a large language model (LLM) launched by JetBrains, designed specifically for developers, aiming to enhance AI-driven development tools. Through deep integration with JetBrains IDEs, it provides low-latency, high-accuracy code completion services. Mellum supports multiple popular programming languages such as Java, Kotlin, Python, Go, and PHP, and can support more languages through an early access program. Its code completion latency is one-third of previous levels, significantly improving development efficiency, with a suggested acceptance rate of up to 40%, setting a new industry benchmark. Mellum's training data comes only from publicly available code with permissive licenses, ensuring user privacy and security.
Mellum's main features
- Fast code completion: Provides developers with nearly instant code suggestions, significantly reducing task completion time.
- Multi-language support: Supports code completion for popular programming languages such as Java, Kotlin, Python, Go, and PHP.
- High acceptance rate: Its completion suggestions have an acceptance rate of about 40%, performing excellently in the industry.
- Low cancellation rate: Users cancel completion suggestions three to four times less frequently than with previous versions.
- Doubled number of completions: Displays more than twice as many completions as previous versions.
- Deep integration with JetBrains IDEs: Deeply integrated with JetBrains IDEs, providing project-specific context-aware code suggestions.
- Privacy protection: Trained only on publicly available code with permissive licenses, protecting user privacy.
Mellum's technical principles
- Deep learning algorithms: Mellum is based on deep learning algorithms, especially the Transformer architecture, which is an advanced model for handling natural language tasks. The Transformer architecture is known for its effectiveness in processing sequence data and can capture long-distance dependencies.
- Context awareness: Mellum can understand the context of code and provide more accurate completion suggestions based on the current code's structure and logic.
- Optimized model: Unlike general-purpose large language models, Mellum is optimized as a smaller, more focused model, concentrating on programming languages and development tasks, reducing latency and providing instant feedback.
- Training data: Mellum is trained on publicly available code with permissive licenses, can access a large number of programming language samples, and learns how to generate high-quality code completions.
- Continuous learning: As an AI model, Mellum continuously learns from user interactions, improving its accuracy and relevance.
- Integrated Development Environment (IDE) collaboration: Mellum is deeply integrated with JetBrains IDEs, can access project-specific information such as codebases, dependencies, and configurations, and provides more accurate code completions.
Mellum's project address
- Project official website：https://ai-bot.cn/sites/6557.html
Mellum's application scenarios
- Code completion: When writing code, Mellum can provide autocomplete suggestions, helping developers quickly complete code snippets and reducing manual coding work.
- Error detection and correction: Mellum can help identify errors in code, provide correction suggestions, improve code quality, and reduce debugging time.
- Code optimization: By analyzing code patterns, Mellum can suggest optimizations, helping developers write more efficient and more elegant code.
- Rapid Prototyping: During the rapid prototyping phase, Mellum can help developers quickly generate basic code frameworks, accelerating the development process.
- Documentation Generation: Mellum can assist in generating code comments and documentation, improving code readability and maintainability.
- Learning and Education: For beginners or developers who are learning a new programming language, Mellum can provide real-time programming guidance and examples, accelerating the learning process.