Phi-4 Reasoning & Reasoning Plus FULL In-Depth LOCAL Test (Coding + Thinking)
AI Summary
Summary of the Video: Evaluation of Microsoft 54 Reasoning and Reasoning Plus Models
- Introduction
- Overview of newly released reasoning models by Microsoft, including 54 reasoning and 54 reasoning plus.
- Both models contain 14 billion parameters, focusing on enhanced reasoning capabilities.
- Reasoning plus uses approximately 1.5 times more tokens for increased accuracy.
- Model Testing
- Conducted tests using both models on Python game development.
- Observed differences in output quality and reasoning depth between the two models.
- Noteworthy that newer models generated obstacle avoidance games compared to older space shooters.
- Python Game Development
- Generated a Python game script where player dodges falling obstacles.
- Models demonstrated some unique gameplay logic but needed improvements in aesthetics and functionality.
- Reasoning plus showed better capability in generating engaging gameplay mechanics compared to the original model.
- Performance Metrics
- Reasoning model produced about 3,775 tokens, while reasoning plus generated 13,693 tokens for the same prompt.
- Reasoning plus provided a more immersive experience with improved gameplay elements.
- Debugging and Feedback
- Feedback on code changes revealed models’ reasonable suggestions, indicating an understanding of potential errors.
- Reasoning plus model excelled in debugging tasks more efficiently.
- Conclusion
- Overall impression: Reasoning plus model displayed significant improvements in reasoning and application over the non-plus model.
- Acknowledgment of limitations but overall satisfaction with enhanced reasoning capabilities.
- Future interest in testing the 54 Mini Reasoning model for more insights.