Stability AI | FutureHurry
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Main Purpose

The main purpose of Stability AI's StableCode is to assist users in generating programming language code using generative AI.

Key Features

  • Open Large Language Model (LLM): StableCode is an LLM designed to help users generate programming language code.
  • Three Different Levels: StableCode is available at three different levels: a base model for general use cases, an instruction model, and a long-context-window model that supports up to 16,000 tokens.
  • Programming Language Support: StableCode initially supports development in Python, Go, Java, JavaScript, C, markdown, and C++ programming languages.
  • Long-Context Window: StableCode's long-context-window version has a context window of 16,000 tokens, allowing for more specialized and complex code generation prompts.
  • Rotary Position Embedding (RoPE): StableCode uses rotary position embedding (RoPE) instead of the ALiBi approach to position outputs in a transformer model, ensuring a more balanced consideration of code functions.

Use Case

  • Generating Programming Language Code: StableCode enables users to generate programming language code to solve problems or improve their codebase.
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