Code Llama 70B Setup & Review - A New Era in AI Coding
AI Summary
- Introduction to Code Llama
- Meta released Code Llama with 70 billion parameters
- Three variations available:
- Code Llama 70B
- Code Llama 70B Python
- Code Llama 70B Instruct
- Derived from LLaMA 2 Foundation model
- Fine-tuned versions for Python code and instructions
- Evaluation scores:
- 70B Instruct tops human eval and multilingual scores
- 70B Python leads in MBPP score
- Setting Up Code Llama
- Guide to install and test Code Llama on a local machine
- Requires downloading and using oLlama
- Steps include:
- Copying Linux-specific code to install
- Starting oLlama service
- Running Code Llama 70B Python or Instruct versions
- Testing Code Llama
- Basic Python task failed with 70B Python version
- Switched to 70B Instruct version for better instruction following
- Conducted various coding challenges:
- Basic to expert level tasks
- Some tests passed, others failed due to errors or incorrect outputs
- Python Game Creation Test
- Attempted to create a Python snake game using Turtle and Pygame
- Encountered syntax errors and issues with game functionality
- Both attempts ultimately failed but served as good starting points
- Conclusion
- Code Llama Instruct version performed better in tests
- Syntax errors attributed to copying and pasting code into VS Code
- Future videos planned to explore Code Llama further
- Encouragement to like, share, subscribe for more AI-related content