Using Llama Coder As Your AI Assistant

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AI Summary

Summary: Offline Coding Assistants in VS Code

• Coding Assistants Discussed:
  • Continue: Offers a chat interface using code as context.
  • LL Coder (LLama Coder): Completes code directly in the file.
• Functionality:
  • Developer writes code or comments for the assistant to interpret.
  • Assistant formats the code for the model, using specific keywords and formats.
• Model Training:
  • Training involves formatting inputs, feeding them to the model, and adjusting parameters for correct responses.
  • Models expect inputs in the same format as training data.
• Deep Seek Format Example:
  • fimor begin (input start)
  • fim whole (indicates answer location)
  • fim end (input end)
  • Angle brackets and pipe characters are important but not shown.
• Infilling:
  • Filling in the middle of a code block is known as infilling.
• Model Execution:
  • LLama Coder uses AMA to run the model.
  • AMA listens for formatted prompts and outputs answers one token at a time (streaming).
• LLama Coder Settings:
  • AMA server endpoint configuration.
  • Model selection: Stable Code, Code LLama, Deep Seek Coder.
  • Temperature setting influences variety in responses.
  • Custom model and format specification.
  • Limits on output length.
• Usage:
  • Typing code or comments and pausing triggers model suggestions.
  • Accept suggestions with tab or command/ctrl arrow keys.
• Debugging:
  • Running AMA with debug shows prompt formatting in logs.
• Supported Languages:
  • Check AMA AI page or GitHub repo for the list of supported languages.
  • Deep Seek Coder supports many languages, including obscure ones.
  • Stable Code supports around 18 languages.
  • Code LLama’s supported languages list is unclear.
• Model Performance:
  • Benchmarks claim superiority but are not always reliable.
  • Users should try different models and sizes to find the best fit.
  • Preference for smaller models to avoid delays and high resource usage.
• Conclusion:
  • The video explains how VS Code assistants work and what languages they support.
  • Encourages comments for questions or future video ideas.

For further details or questions, comments are welcomed.