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Data Argumentation, Poetic and Picturesque
Surpasses 99.5% of humans in chart drawing. Expresses data and opinions in a vivid and appropriate manner.
Logical Reasoning, Interlocking
Private SLM (Strong Logic Model) + LLM, 87% reduction in logical error rate compared to the previous generation.
Writing with Ease, Smooth and Flowing
Near-AGI level super artificial intelligence, even with tens of thousands of words, the writing is still divinely inspired.
The New ZHOUWEN.WANG — Near-AGI Technological Level
BenchMark
ZWW*
Current Version
Humans
Developers
GPT 4
2024.3
GPT 3.5
2024.3
ZWW*
Previous Version
Knowledge System
92%
55%
92%
78%
80%
Logical Reasoning
91%
94%
76%
35%
40%
Expressive Ability
96%
82%
96%
85%
89%
Long Essay Writing
94%
59%
75%
44%
69%
Test data includes but is not limited to: MMLU, GPAQ, Diamond, GSM8K, MATH, MGSM, HumanEval, DROP, F1 score, BIG-Bench-Hard, ARC-Challenge, HellaSwag
Test content may be dynamically updated and scores revised based on results.
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The Effects of Microplastics on Liver Function in Mice
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Excerpt Appreciation
In the control group, the mean ALT level was 20 ± 5 U/L, while the mean AST level was 30 ± 8 U/L. These values are within the normal range for healthy mice. In contrast, the low-dose microplastic group exhibited elevated ALT and AST levels, with mean values of 35 ± 10 U/L and 45 ± 12 U/L, respectively. The high-dose microplastic group showed an even more pronounced increase in liver enzyme levels, with a mean ALT level of 60 ± 15 U/L and a mean AST level of 80 ± 20 U/L.
Market Analysis of Electric Vehicles in the European Union Region
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Excerpt Appreciation
According to the graph presented earlier, the EU EV market is expected to grow from 1.2 million units sold in 2022 to 5.1 million units by 2030. This represents a compound annual growth rate (CAGR) of approximately 19.8% over the 8-year period. The growth can be attributed to several factors, including increasing consumer awareness, supportive government policies, and advancements in EV technology.
Design of Information Flow Advertising Bidding System
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Excerpt Appreciation
To simulate real-world conditions, we employed a distributed computing environment consisting of multiple nodes, each representing a different component of the bidding system. The user interface, auction engine, and reporting and analytics components were deployed on separate nodes to ensure optimal performance and scalability. The system was configured to handle a high volume of requests, mimicking the traffic experienced by a production-grade advertising bidding platform.
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