Putting Qwen3-235B-A22B to Test for Coding, Localization, and Math
AI Summary
Video Summary
- Introduction:
- Host: Fad Miraa
- Overview of Alibaba’s Quen 3 AI model, standout model with 235 billion parameters.
- Key Features of Quen 3:
- 22 billion activated parameters, 94 layers, 64 attention heads, and 128 experts (sparse model).
- Context length: 32k (extendable).
- Testing Quen 3:
- Access via chat.co.ai (sign up needed).
- First prompt: Create an interactive solar system HTML file.
- Generated code: satisfactory but could improve animation speed.
- Second prompt: Math problem on quadrilateral side lengths.
- Model displayed good reasoning, correct answer confirmed.
- Cultural Nuance Testing:
- Supported languages: 119.
- Various prompts based on cultural contexts from Indonesia, Belgium, UAE, Armenia, and Pakistan.
- Analyzed responses were culturally grounded and accurate.
- Conclusion:
- Mixed results in coding prompts compared to competitors but strong in cultural and reasoning tasks.
- Final notes on sponsored content for Agentbot deployment.