QwQ-32B: NEW Opensource LLM Beats Deepseek R1! (Fully Tested)
Updated: March 9, 2025
Summary
The video introduces Alibaba's new open-source model with 32 billion parameters, showcasing advancements in reinforcement learning, foundation model pre-training, and environmental reasoning enhancements. It compares Alibaba's model with Deep Seek R1 in terms of parameters and performance in reasoning tasks. The video provides installation instructions for accessing the model via platforms like Hugging Face and Model Zoo for chat applications. It demonstrates the model's capabilities in reasoning, coding, and basic web JavaScript logic, highlighting its progress in solving mathematical equations and problem-solving tasks, while also noting areas for improvement in accuracy and logical reasoning skills. Overall, the model shows promise in various AI applications and problem-solving challenges, with ongoing enhancements and opportunities for further development.
TABLE OF CONTENTS
Introduction of Alibaba's New Model
Key Advancements in the Model
Performance Comparison with Deep Seek R1
Installation and Accessing the Model
2025 AI Conference Announcement
Demonstration of Model's Abilities
SVG Code Creation Challenge
Logical Reasoning Challenge
Mathematical Equation Challenge
Problem-Solving Challenge
Overall Performance and Conclusion
Introduction of Alibaba's New Model
Introducing Alibaba's new open-source model with 32 billion parameters and its advancements in reinforcement learning and reasoning.
Key Advancements in the Model
Overview of the three key advancements in the model, including reinforcement learning, Foundation model pre-training, and environmental reasoning enhancements.
Performance Comparison with Deep Seek R1
Comparison of Alibaba's model with Deep Seek R1 model in terms of parameters and performance in reasoning tasks.
Installation and Accessing the Model
Instructions on how to install and access the model through platforms like Hugging Face and Model Zoo for chat applications.
2025 AI Conference Announcement
Announcement of the 2025 AI conference scheduled for March 17-21, focusing on various AI topics and sessions for developers and researchers.
Demonstration of Model's Abilities
Demonstration of the model's capabilities in reasoning, coding, and basic web JavaScript logic through interactive prompts.
SVG Code Creation Challenge
Evaluation of the model's performance in generating SVG code to represent a specific shape, highlighting its limitations in styling accuracy.
Logical Reasoning Challenge
Testing the model's logical reasoning skills with a train distance problem and evaluating its accuracy in providing the correct answer.
Mathematical Equation Challenge
Assessment of the model's ability to solve a sequence-based mathematical equation and its step-by-step progression in reaching the correct answer.
Problem-Solving Challenge
Evaluation of the model's problem-solving skills in identifying the heavier ball using a balance scale, noting its initial correct steps followed by an incorrect final conclusion.
Overall Performance and Conclusion
Summary of the model's performance in reasoning, math, coding, and problem-solving challenges, acknowledging its strengths and areas for improvement.
FAQ
Q: What are the three key advancements in Alibaba's new open-source model with 32 billion parameters?
A: The three key advancements are reinforcement learning, Foundation model pre-training, and environmental reasoning enhancements.
Q: How does nuclear fusion work?
A: Nuclear fusion is the process by which two light atomic nuclei combine to form a single heavier one while releasing massive amounts of energy.
Q: How does Alibaba's model compare to Deep Seek R1 model in terms of parameters and performance in reasoning tasks?
A: Alibaba's model has 32 billion parameters compared to the Deep Seek R1 model, and it outperforms in reasoning tasks.
Q: Where can the Alibaba model be accessed and installed for chat applications?
A: The Alibaba model can be accessed and installed through platforms like Hugging Face and Model Zoo for chat applications.
Q: When is the 2025 AI conference scheduled?
A: The 2025 AI conference is scheduled for March 17-21.
Q: What are the areas in which the Alibaba model's performance has been demonstrated?
A: The Alibaba model's capabilities have been demonstrated in reasoning, coding, and basic web JavaScript logic through interactive prompts.
Q: What are the limitations of the Alibaba model in generating SVG code to represent a specific shape?
A: The Alibaba model has limitations in styling accuracy when generating SVG code to represent a specific shape.
Q: How accurate is the Alibaba model in logical reasoning skills with a train distance problem?
A: The Alibaba model's accuracy in logical reasoning skills with a train distance problem needs to be evaluated.
Q: How does the Alibaba model solve a sequence-based mathematical equation?
A: The Alibaba model solves a sequence-based mathematical equation through a step-by-step progression to reach the correct answer.
Q: What problem-solving challenge did the Alibaba model face in identifying the heavier ball using a balance scale?
A: The Alibaba model faced a challenge in correctly identifying the heavier ball using a balance scale, initially following correct steps but reaching an incorrect final conclusion.
Q: What are the strengths and areas for improvement of the Alibaba model in reasoning, math, coding, and problem-solving challenges?
A: The Alibaba model has strengths and areas for improvement in reasoning, math, coding, and problem-solving challenges, which need to be acknowledged and addressed.
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