EP101 - ChatGPT vs DeepSeek Qual IA é Melhor Teste de 20 Perguntas Resultados Surpreendentes!

Engenharia Podcast
31 Jan 202523:33

Summary

TLDRIn this video, the host compares the performance of two AI tools, ChatGPT and DeepSic, by testing them with 20 exam questions. Despite a stark difference in their development costs (100 million USD for ChatGPT vs 5 million for DeepSic), both AI tools achieve similar results, answering 17 out of 20 questions correctly. While both AIs occasionally make errors, they perform almost identically, highlighting the impressive capabilities of DeepSic. The video invites viewers to explore and learn more about AI tools, encouraging them to join a community focused on mastering artificial intelligence technologies.

Takeaways

  • 😀 The host compares two AI tools: ChatGPT and DeepSic by testing them with the same set of 20 questions.
  • 😀 Both AI tools provided similar answers for most of the questions, showing that they function similarly despite differing investments by their creators.
  • 😀 The host emphasizes the importance of cross-checking AI responses as errors can occur, even in advanced tools like ChatGPT and DeepSic.
  • 😀 Both tools achieved an 85% accuracy rate, with three questions answered incorrectly by both systems.
  • 😀 The host creates a comparison table in Excel to track the answers from each tool and analyze their performance in detail.
  • 😀 A key observation was that some answers were identical, while others showed differences, particularly on question 11, which led to a divergence in answers.
  • 😀 The host encourages viewers to engage with his community group and share their own experiences and thoughts about AI tools.
  • 😀 The test highlighted the practicality and usefulness of AI tools, but it also showed the need for users to verify answers themselves, as AI systems are not always infallible.
  • 😀 The host’s conclusion was that while both AI tools performed similarly, they both had areas of failure, demonstrating their limitations.
  • 😀 The script ends with a call to action, inviting viewers to join the host’s community to learn more about using AI tools effectively, particularly ChatGPT, for productivity and automation.

Q & A

  • What is the purpose of the video shared in the transcript?

    -The purpose of the video is to compare two AI tools, ChatGPT and DeepSic, by testing their responses to a series of questions and analyzing which one provides more accurate or relevant answers.

  • How does the presenter plan to compare the two AI tools?

    -The presenter plans to compare ChatGPT and DeepSic by asking the same set of questions to both tools and recording their responses to evaluate which one is more accurate.

  • What is the significance of the $100 million investment in ChatGPT by the United States and the $5 million investment by China in DeepSic?

    -The significant difference in investment amounts highlights the disparity in resources spent on the development of the two AI systems, with ChatGPT being developed with far more funding, yet DeepSic seems to provide similar functionality despite the much lower investment.

  • What is the main idea behind the comparison between ChatGPT and DeepSic?

    -The main idea is to determine whether the higher investment in ChatGPT leads to better results compared to DeepSic, which is a cheaper alternative. The comparison focuses on whether both AI tools provide similar accuracy and performance.

  • What method does the presenter use to track the AI’s responses?

    -The presenter creates a table in Excel to track the responses of both ChatGPT and DeepSic for each question, allowing them to compare and analyze the accuracy of the answers.

  • Did both AI tools perform similarly in the test?

    -Yes, both AI tools performed similarly in the test, with both ChatGPT and DeepSic providing correct answers for most of the questions. However, there were occasional differences, and both systems made a few mistakes.

  • How does the presenter react to the fact that both AIs made errors?

    -The presenter expresses surprise and interest in the fact that both AIs made mistakes, especially given the high investment in ChatGPT. They seem intrigued by how the lower-cost DeepSic can still perform similarly to ChatGPT.

  • What was the outcome of the comparison between the two AIs?

    -The outcome showed that both AI tools, ChatGPT and DeepSic, had a similar accuracy rate, with a success rate of around 85%. Despite some differences, they performed nearly the same, making similar mistakes in specific questions.

  • What does the presenter suggest about the reliability of AI tools?

    -The presenter suggests that, while both AIs are useful, users should not trust them 100% as they can make mistakes. The need for critical thinking when using AI tools is emphasized.

  • What does the presenter recommend for those interested in learning more about AI?

    -The presenter recommends joining their community and enrolling in a specific course on AI, particularly focusing on ChatGPT, to help viewers learn how to create specialized AI assistants and automate daily tasks.

Outlines

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Keywords

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Highlights

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Transcripts

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AI ComparisonChatGPTArtificial IntelligenceTech ReviewAI PerformanceChinese AIProductivity ToolsInnovationTechnology TestingAI AccuracyTech Analysis
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