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What does it do?

  • Code Completion
  • Code Generation
  • Natural Language to Code
  • Multi-Language Programming
  • Developer Productivity

How is it used?

  • Integrate into IDEs for text-to-code and code completion.
  • 1. Integrate into dev env
  • 2. Auto complete code
  • 3. Generate code snippets
  • 4. Convert instructions to code
See more

Who is it good for?

  • Students
  • AI Researchers
  • Data Scientists
  • Educators
  • Software Developers

Details & Features

  • Made By

    Google
  • Released On

    2010-10-24

CodeGemma is a collection of advanced, lightweight models developed by Google for various coding tasks. This AI-powered software assists developers with code completion, code generation, natural language understanding, mathematical reasoning, and instruction following, enhancing productivity and efficiency in software development.

Key features:
- Intelligent Code Completion and Generation: Completes lines, functions, and generates entire blocks of code, working seamlessly locally or with Google Cloud resources.
- Enhanced Accuracy: Trained on 500 billion tokens of primarily English language data from web documents, mathematics, and code, ensuring syntactically correct and semantically meaningful output.
- Multi-Language Proficiency: Supports Python, JavaScript, Java, Kotlin, C++, C, Rust, and Go.
- Streamlined Workflows: Reduces boilerplate code writing, allowing developers to focus on complex coding tasks.

Model Variants:
- 7B Pretrained Variant: Specializes in code completion and generation from code prefixes and/or suffixes.
- 7B Instruction-Tuned Variant: Optimized for natural language-to-code chat and instruction following.
- 2B Pretrained Variant: Provides up to 2x faster code completion for rapid development cycles.

How it works:
1. Users integrate CodeGemma into their development environments.
2. The model completes code as the user types, based on surrounding context.
3. It generates new code snippets or functions based on natural language descriptions or partial code inputs.
4. The instruction-tuned variant converts natural language instructions into executable code.

Integrations:
- Google Cloud, Kaggle

Use of AI:
CodeGemma uses generative artificial intelligence to provide advanced coding capabilities. The models are built on large language models trained on a vast dataset of web documents, mathematical texts, and code.

AI foundation model:
The models are based on large language models trained on 500 billion tokens, enabling them to understand and generate syntactically and semantically accurate code.

Target users:
- Software Developers
- Data Scientists
- Educators and Students

How to access:
CodeGemma is available as a web app and can be integrated into various development environments. It is not open source but provides extensive documentation and community support.

  • Supported ecosystems
    Google
  • What does it do?
    Code Completion, Code Generation, Natural Language to Code, Multi-Language Programming, Developer Productivity
  • Who is it good for?
    Students, AI Researchers, Data Scientists, Educators, Software Developers

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