Using Llama Coder As Your AI Assistant

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AI Summary

Summary: Offline Coding Assistants in VS Code

• Offline Coding Assistants:
  • Two popular ones: Continue and Llama Coder (LL Coder).
  • LL Coder works directly in the code file.
  • Continue provides a chat interface using code as context.
• Functionality:
  • Assistants format code for the model based on specific keywords and formats.
  • The training process adjusts the model to respond correctly to inputs.
  • Future inputs must match the training format.
• Deep Seek Format Example:
  • Format includes fimor begin, fim whole (for infilling), and fim end.
  • Special characters like angle brackets and pipe characters are crucial.
• Model Interaction:
  • Llama Coder uses AMA to run the model.
  • AMA listens for formatted prompts and streams the output one token at a time.
• Llama Coder Settings:
  • AMA server endpoint, model selection (e.g., Stable Code, Code Llama, Deep Seek Coder).
  • Temperature setting affects the variety of the output.
  • Custom models and formats can be specified.
  • Limits on output length per interaction.
• Usage:
  • Typing code or comments and pausing triggers the assistant.
  • Suggestions appear in gray text and can be accepted in full or part.
• Transparency:
  • Future versions may allow users to see the formatted prompts sent to the model.
• Supported Languages:
  • Check the AMA AI page or the Hugging Face repo for the model to see supported languages.
  • Deep Seek Coder supports many languages, including obscure ones.
  • Stable Code supports around 18 languages.
  • Code Llama’s supported languages are unclear.
• Choosing a Model:
  • Benchmarks claim superiority but are not always reliable.
  • Users should try different models and sizes to find the best fit.
  • Smaller models are preferred for quicker responses and less resource usage.
• Conclusion:
  • The video explains how VS Code assistants work and what languages they support.
  • Viewers are encouraged to ask questions or suggest future video topics in the comments.

For further details or questions, viewers can refer to the comments section of the video.