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I tested DeepSeek vs. OpenAI-o1 for data science tasks: Here’s what I found. - Video Insight

Thu Vu

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The video reviews Deep Seek R1's reasoning capabilities in comparison to OpenAI's models, highlighting accessibility and performance in AI tasks.

The video discusses the capabilities of the Deep Seek R1 AI model in comparison to OpenAI's models, particularly focusing on reasoning performance. The presenter conducted tests on various reasoning tasks, highlighting how Deep Seek R1 shows promising results, particularly in mathematical reasoning and coding tasks, while also emphasizing its accessibility as a free and open-source tool. The thorough examination reveals that despite some areas where OpenAI models still hold a slight edge, especially in technical coding questions and visual reasoning, Deep Seek R1 offers a competitive alternative for data scientists looking for cost-effective AI solutions.

Content rate: B

The video provides a well-rounded comparison of two AI models based on practical testing and user experience. It discusses both strengths and weaknesses, although some technical claims remain somewhat anecdotal without extensive benchmarks.

AI OpenSource Reasoning DataScience

Claims:

Claim: Deep Seek R1 is a truly open AI model that is free to use.

Evidence: The model is accessible online without subscription costs and is designed to support various applications.

Counter evidence: While it is free, the high hardware requirements for running the full model locally might limit accessibility for some users.

Claim rating: 9 / 10

Claim: Deep Seek R1 outperforms ChatGPT-4 in reasoning tasks.

Evidence: The presenter states that their observations indicate Deep Seek R1 handles reasoning tasks better than ChatGPT-4 in specific tests.

Counter evidence: However, ChatGPT-4 retains advantages in context and depth in certain coding tasks, which could undermine the claim of overall superiority.

Claim rating: 7 / 10

Claim: Deep Seek R1 can be run locally but requires significant computational resources.

Evidence: Deep Seek R1 has 671 billion parameters, requiring over 400 GB of disk space and substantial memory power to run effectively.

Counter evidence: The availability of distilled models with fewer parameters provides alternatives that can run on less powerful machines, though with reduced performance.

Claim rating: 8 / 10

Model version: 0.25 ,chatGPT:gpt-4o-mini-2024-07-18

### Key Facts and Information about Deep Seek R1 vs. OpenAI Model O1 1. **Overview of Deep Seek R1**: - Deep Seek R1 is a new open-source AI model that offers reasoning performance comparable to OpenAI's O1 model. - It is completely free and allows for fine-tuning and varied applications. 2. **Accessibility and Cost**: - Users can access Deep Seek R1 via its web interface or an API at a lower cost than OpenAI's models. - Users concerned about privacy can run Deep Seek R1 locally, although it requires significant hardware resources. 3. **Model Size and Options**: - The full Deep Seek R1 model has 671 billion parameters, needing over 400 GB of disk space. - Distilled versions with fewer parameters (e.g., a 7 billion parameter model) are available for use on less powerful computers. 4. **Performance Comparison**: - Deep Seek R1 has shown superior mathematical reasoning scores compared to OpenAI’s O1. - It matches OpenAI in coding and software engineering tasks, demonstrating strong knowledge test performances. 5. **Reasoning and Output Quality**: - Deep Seek R1 is slower due to its extensive reasoning process but produces thorough answers. - OpenAI's O1 provides quicker, slightly more detailed and structured responses in certain tasks. 6. **Practical Testing**: - Real-world applications tested include data analysis and coding tasks, with results comparing accuracy, clarity, and thoroughness. - Deep Seek R1 offered systematic approaches for data cleaning, albeit with less context than OpenAI's responses. 7. **Divisive Performance on Complex Questions**: - OpenAI's O1 outperformed Deep Seek R1 on certain coding examples and recognizing complex misrepresentations in graphs. - However, Deep Seek R1 excels in reasoning tasks that involve critical thinking and a step-by-step approach. 8. **Implications for the AI Industry**: - The introduction of a highly capable, free model like Deep Seek R1 could disrupt the paid AI landscape. - The model’s reliance on reinforcement learning rather than expensive human-labeled datasets sets it apart. 9. **Final Recommendation**: - While both models are formidable, OpenAI's O1 retains advantages in specific tasks. - Deep Seek R1 is highly recommended for data scientists seeking an advanced reasoning model without financial constraints, though maintaining an OpenAI subscription may still be beneficial for some applications.