Qwen-2.5 Max: NEW Opensource LLM BEATS Deepseek-v3 & R1? (Tested)


Summary

The video celebrates reaching 100K subscribers and expresses gratitude to viewers for their support. It delves into personal struggles and emphasizes the role of faith, hard work, and discipline in achieving success. The video showcases the Quin 2.5 Max model pre-trained on a large dataset, excelling in benchmark tests, and its ability to generate a sticky note app, solve multi-step problems, and create complex shapes like a butterfly. It also demonstrates the model's performance in generating a Python script, simulating an online store checkout system, and evaluates its capabilities and shortcomings.


Channel Milestone

Celebrating reaching 100K subscribers and expressing gratitude to viewers for their support and encouragement.

Personal Journey

Reflecting on a low point in life and the role of faith, hard work, and discipline in achieving success.

Introduction of Quin 2.5 Max

Discussing the features and performance of the Quin 2.5 Max model pre-trained on a large dataset and excelling in benchmark tests.

Front-End Application Testing

Demonstrating the functionality of a sticky note app generated by the model and evaluating its features.

Problem-Solving Assessment

Testing the model's ability in solving multi-step problems related to distance calculation and physics concepts.

Shape Generation Challenge

Evaluating the model's capability to generate complex shapes like a butterfly and its use of arithmetic progressions.

Python Implementation Testing

Testing the generated Python script for functionality and running it successfully within the environment.

Online Store Checkout Simulation

Simulating an online store checkout system with item quantities, discounts, and error handling features.

Final Evaluation

Overall assessment of the model's performance, capabilities, and areas where it excels or falls short.

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