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Starts 5 June 2025 19:48
Ends 5 June 2025
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Qwen 2.5 Omni - The Most Multi-modal Model for Video, Text and Audio Processing
Explore Qwen 2.5 Omni's multi-modal capabilities with video, text, and audio processing, comparing it to models like Llama 3, Moshi, GPT-4o, and Gemini Pro 2.5, plus learn practical implementation on GPUs.
Trelis Research
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Trelis Research
2463 Courses
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Overview
Explore Qwen 2.5 Omni's multi-modal capabilities with video, text, and audio processing, comparing it to models like Llama 3, Moshi, GPT-4o, and Gemini Pro 2.5, plus learn practical implementation on GPUs.
Syllabus
- Introduction to Qwen 2.5 Omni
- Multi-Modal Processing with Qwen 2.5 Omni
- Comparative Analysis of Multi-Modal Models
- Implementation and Optimization on GPUs
- Practical Applications and Use Cases
- Hands-On Workshop
- Challenges and Ethical Considerations
- Future Trends in Multi-Modal AI
- Course Conclusion
Overview of Qwen 2.5 Omni's capabilities
Importance of multi-modal models
Key differences from previous versions
Video processing features
Text analysis and generation
Audio processing and synthesis
Comparison with Llama 3
Comparison with Moshi
Comparison with GPT-4o
Comparison with Gemini Pro 2.5
Hardware requirements and considerations
Practical implementation steps
Optimizing performance for multi-modal tasks
Real-world applications of Qwen 2.5 Omni
Case studies and success stories
Guided exercises on video processing
Text and audio processing techniques
Integration of video, text, and audio
Addressing challenges in multi-modal AI
Ethical implications and responsible use
Emerging technologies and innovations
The future of Qwen and similar models
Recap of key learnings
Resources for further study and exploration
Subjects
Computer Science
