TLDR Comparison of GPT-40 and Claw 3.5 Sonet through practical tests for everyday work and business usage, covering writing, vision, data analytics, coding, and reasoning. Both models available for free with limitations. Writing test showed similar performance. Anticipation of future tests on text summary and other applications.

Key insights

  • 💻 Comparison of GPT-40 and Claw 3.5 Sonet through practical tests for everyday work and business usage
  • 🔍 Coverage of writing, vision, data analytics, coding, and reasoning tests
  • 🆓 Both models available for free with limitations
  • 📝 Writing test showed similar performance
  • 🔮 Anticipation of future tests on text summary and other applications
  • 📄 GPT-4 provides accurate and detailed summaries with different tones
  • 🔄 Functional differences between GPT-4 and CLA 3.5, including the use of 'artifacts' in CLA 3.5
  • ⚠️ Limitations of large language models and the need to not take their output at face value

Q&A

  • What are the limitations and benefits of CLA 3.5 Sonet and Chat GPT AI models?

    The video provided a comparison of the limitations and benefits of CLA 3.5 Sonet and Chat GPT AI models. It indicated an advantage of custom GPTs in the paid version of Chat GPT over CLA 3.5 and recommended using Perplexity for research.

  • What are the capabilities and performance of GPT and Claude in terms of creating financial dashboards, developing games, and complex reasoning?

    The video indicated that Claude outperforms GPT in creating a financial dashboard and a game of checkers. Both GPT and Claude perform equally well in complex reasoning tasks.

  • How does Chat GPT compare to Claude for data analytics, image generation, and research?

    In the comparison of Chat GPT and Claude for data analytics, image generation, and research, Chat GPT excels in visual representations and image generation, while Claude lacks image generation but provides specific use cases. It was also stated that neither tool is effective for research, suggesting Perplexity AI and Google Gemini as better options.

  • What about the limitations of large language models and the importance of judgment in evaluating their output?

    The video emphasized the limitations of large language models and the significance of using judgment when evaluating their output. It also highlighted the necessity of considering multiple sources and not taking their output at face value when analyzing data from AI models.

  • What are the differences between GPT-4 and CLA 3.5?

    The video compared GPT-4 and CLA 3.5 for summarizing an article and analyzing an image. GPT-4 provides accurate and detailed summaries with different tones. CLA 3.5 offers beta features like 'artifacts' for visual presentations, showcasing different image analysis outputs.

  • What is the comparison between GPT-40 and Claw 3.5 Sonet?

    The video compared GPT-40 and Claw 3.5 Sonet through practical tests covering writing, vision, data analytics, coding, and reasoning. Both models are available for free with limitations, and the writing test resulted in similar performance. Future tests on text summary and other applications are anticipated.

  • 00:00 The video compares GPT-40 and Claw 3.5 Sonet through practical tests for everyday work and business usage, covering writing, vision, data analytics, coding, and reasoning. Both models are available for free but with limitations. The writing test resulted in similar performance. Future tests on text summary and other applications are anticipated.
  • 04:02 A comparison of two AI models, GPT-4 and CLA 3.5, to summarize an article and analyze a complex image. GPT-4 provides detailed and factual summaries, while CLA 3.5 offers beta features like 'artifacts' for visual presentations.
  • 08:14 Comparing the output of two different AI models for analyzing data and creating presentations. The limitations of large language models and the importance of using judgment to evaluate their output.
  • 12:27 Comparison of chat GPT and Claude for data analytics, image generation, and research. Chat GPT excels in visual representations and image generation, while Claude lacks image generation but provides specific use cases. Neither tool is effective for research. Perplexity AI and Google Gemini are better options for research.
  • 16:35 A comparison is made between GPT and Claude in terms of creating a financial dashboard, developing a game of checkers and complex reasoning. Claude outperforms GPT in creating a financial dashboard and a game of checkers. Both GPT and Claude perform equally well in complex reasoning tasks.
  • 20:58 Comparison of CLA 3.5 Sonet and chat GPT AI models reveals limitations and benefits. Custom GPTs in paid version of chat GPT offer significant advantage over CLA 3.5. Recommendation to use Perplexity for research.

Comparing GPT-40 and CLA 3.5: Practical Tests and Limitations

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