MACHINE LEARNING

Comparing DeepSeek-V3 and Qwen2.5 — Chinese LLMs vs GPT-4o

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01 February 2025 9h14

The results: • DeepSeek-V3 = 2
• Qwen2.5 = 4 DeepSeek = Best for reasoning, structured responses, and coding. Qwen2.5 = Best for in-depth analysis, modularity, and flexibility. Both are powerful AI contenders to watch out for. Would you use Chinese LLMs over GPT-4o or

DeepSeek-V3 vs Qwen2.5: coding quality comparison

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01 February 2025 9h14

5/ Coding

• DeepSeek-V3: Well-structured code with advanced features.
• Qwen2.5: Simpler code and was easy to navigate and work with

Winner: DeepSeek-V3 and Qwen (3-2) pic.twitter.com/jScwpCyGzx
— God of Prompt (@godofprompt) 1 février 2025

5/ Coding • DeepSeek-V3: Well-structured code with advanced features.
• Qwen2.5: Simpler code and was easy to navigate and work with Winner: DeepSeek-V3 and Qwen (3-2)

Benchmark: DeepSeek-V3 vs Qwen2.5 Image Analysis

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01 February 2025 9h13

2/ Image Analysis

• DeepSeek-V3: Couldn’t analyze the image.
• Qwen2.5 (VL-72B): Identified the winner and found the next match.

Winner: Qwen2.5 (2-0) pic.twitter.com/hiB0ZHMRkR
— God of Prompt (@godofprompt) 1 février 2025

2/ Image Analysis • DeepSeek-V3: Couldn’t analyze the image.
• Qwen2.5 (VL-72B): Identified the winner and found the next match. Winner: Qwen2.5 (2-0)

Qwen 2.5 Preferred Over DeepSeek-V3 in Model Comparison

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01 February 2025 9h13

1/ Reasoning

• DeepSeek-V3: More detailed but overly verbose.
• Qwen2.5: Clear, structured, and to the point.

Winner: Qwen 2.5 (1-0) pic.twitter.com/7QMpkkKk6F
— God of Prompt (@godofprompt) 1 février 2025

1/ Reasoning • DeepSeek-V3: More detailed but overly verbose.
• Qwen2.5: Clear, structured, and to the point. Winner: Qwen 2.5 (1-0)

Model comparison: DeepSeek R1 vs ChatGPT-o1

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01 February 2025 7h58

DeepSeek R1 is good but ChatGPT-o1 is on another level.

→ View original post on X — @ronald_vanloon

AI and Immersive Training Redefine Skill Building

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@ronald_vanloon

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01 February 2025 7h50

How #AI and Immersive Training Can Redefine Skill Building
by Oleg Fonarov @Forbes Read more: https://
buff.ly/4gkeEw3 #ArtificialIntelligence #MachineLearning #ML #Tech #Technology cc: @gp_pulipaka @HaroldSinnott @yuhelenyu

→ View original post on X — @goodside

Appeal of generating many coherent unrepeated answers

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@goodside

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01 February 2025 7h27

Producing many coherent answers to an open-ended question without repeating is appealing IMO because it both uses world knowledge and it demands a model pay attention to everything in context. And there’s no ceiling.

→ View original post on X — @goodside

o3-mini achieves #1 and #2 on Aidenbench, topping big model smell

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@goodside

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01 February 2025 7h14

o3-mini takes #1 and #2 on Aidenbench A mini now tops the benchmark of “big model smell.”

→ View original post on X — @montreal_ai

Self-Improving Foundation Models Without Human Supervision

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@montreal_ai

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01 February 2025 4h58

Self-Improving Foundation Models Without Human Supervision Setlur et al.: https://
openreview.net/forum?id=rFYeB
znwop
… #ArtificialIntelligence #DeepLearning #MachineLearning