Mellum - JetBrains introduces a large language model designed specifically for developers.

What is Mellum?

Mellum, a large language model (LLM) from JetBrains, is designed for developers to enhance AI-driven development tools. Through deep integration with the JetBrains IDE, it provides low-latency, highly accurate code completion. Mellum supports multiple popular programming languages, including Java, Kotlin, Python, Go, and PHP, with more languages available through the early access program. Its code completion latency is one-third of previous versions, significantly improving development efficiency, and its recommended acceptance rate reaches 40%, setting a new industry benchmark. Mellum's training data comes only from publicly available, permissive-licensed code, ensuring user privacy and security.

Mellum's main functions

• Quick code completionIt provides developers with near-instant code suggestions, significantly reducing task completion time.
• Multilingual supportSupports code completion for popular programming languages such as Java, Kotlin, Python, Go, and PHP.
• High acceptance rateIts completion suggestions have an acceptance rate of approximately 40%, which is excellent in the industry.
• Low cancellation rateUsers cancel autocomplete suggestions three to four times less frequently than in previous versions.
• The number of completions doubledThe number of autocomplete items displayed is more than double that of the previous version.
• Deep integration with JetBrains IDEDeeply integrated with JetBrains IDE, providing project-specific context-aware code suggestions.
• Privacy protectionTraining is only performed on publicly available, permissive code to protect user privacy.

Mellum's technical principles

• Deep learning algorithmsMellum is based on deep learning algorithms, particularly the Transformer architecture, a state-of-the-art model for natural language tasks. The Transformer architecture is renowned for its effectiveness in processing sequential data, capturing long-range dependencies.
• Context awarenessMellum understands the context of the code and can provide more accurate completion suggestions based on the current code structure and logic.
• Optimization ModelUnlike general-purpose large language models, Mellum is optimized into a smaller, more focused model that focuses on programming languages and development tasks, reducing latency and providing instant feedback.
• Training dataMellum is trained on publicly available, permissive code, and has access to a large number of programming language samples to learn how to generate high-quality code completion.
• Continuous learningAs an AI model, Mellum continuously learns from user interactions to improve its accuracy and relevance.
• Integrated Development Environment (IDE) CollaborationMellum's deep integration with JetBrains' IDE allows access to project-specific information such as codebases, dependencies, and configurations, and provides more accurate code completion.

Mellum's project address

• Project official website: https://ai-bot.cn/sites/6557.html

Mellum's application scenarios

• Code completionMellum can provide auto-completion suggestions when writing code, helping developers quickly complete code snippets and reduce manual coding work.
• Error detection and correctionMellum can help identify errors in code, provide suggestions for correction, improve code quality, and reduce debugging time.
• Code optimizationBy analyzing code patterns, Mellum can offer optimization suggestions to help developers write more efficient and elegant code.
• Rapid prototypingDuring the rapid prototyping phase, Mellum can help developers quickly generate basic code frameworks, accelerating the development process.
• Document generationMellum can help generate code comments and documentation, improving code readability and maintainability.
• Learning and EducationFor beginners or developers learning a new programming language, Mellum can provide instant programming guidance and examples to accelerate the learning process.