TLDR Explore the contrasts between GPT 3.5 and GPT4, revealing specific scenarios where each excels. Learn through real examples in the video.

Key insights

  • ⚖️ GPT-4 is generally better, but GPT 3.5 has specific use cases where it performs better, identified through personal testing and experimentation
  • 🎙️ GPT-4 is more rigid, fact-based, and lacks human touch in interviews compared to GPT-3.5
  • 💼 Increasing context and specific prompts improve GPT-4 performance, especially in job interview preparation
  • 🍺 GPT-4 gives detailed and fact-paced responses, while GPT 3.5 provides concise, interesting, and human-friendly answers in various scenarios
  • 🔍 Specific wording is crucial for desired results when comparing GPT4 prompts for beer-related questions
  • 💭 GPT 3.5 provides personal and detailed responses, allowing for opinion and out-of-the-box thinking, while GPT 4 is more restricted and less opinionated
  • 🎓 Importance of crafting specific prompts and the introduction of a new prompt engineering course for advanced users

Q&A

  • What is the significance of crafting specific prompts for AI models like GPT 3.5 and GPT4?

    Crafting specific prompts is crucial for obtaining desired results from GPT3.5 and GPT4. The video emphasizes the importance of tailored prompts to meet individual needs and also introduces a new prompt engineering course for advanced users.

  • How does the wording of prompts impact the responses of GPT4?

    GPT4 responds more focused and detailed with specific prompts. The use of carefully selected words is crucial for guiding GPT4 in the right direction, especially for conversation topics. For GPT3.5, it provides more unconstrained and practical results for beer-related queries.

  • What type of answers does GPT4 provide compared to GPT 3.5 for beer-related queries?

    GPT4 gives detailed and fact-paced responses, while GPT 3.5 provides more concise, interesting, and human-friendly answers, suitable for different audiences.

  • How does GPT-4 differ from GPT-3.5 in interview scenarios?

    GPT-4 has higher guardrails, is less human, and is more rigid in interview scenarios compared to GPT-3.5. Increasing context and specific prompts can improve GPT-4 performance, especially in job interview preparation.

  • What are the differences between GPT 3.5 and GPT4?

    GPT4 is generally better, but GPT 3.5 has specific use cases where it performs better. GPT-4 is more rigid, fact-based, and lacks human touch in its responses, while GPT 3.5 provides more personal and detailed answers, allowing for opinion and out-of-the-box thinking.

  • 00:00 Comparing GPT 3.5 and GPT4, GPT4 is generally better, but there are specific cases where GPT 3.5 performs better. The use cases were identified through personal testing and experimentation. The video addresses the differences through actual examples.
  • 02:33 GPT-4 has higher guardrails and is less human in interviews compared to GPT-3.5. GPT-4 is more rigid, fact-based, and lacks human touch in its responses. Increasing context and specific prompts improve performance in GPT-4, especially in preparing for job interviews.
  • 05:07 Comparing answers generated by AI models 3.5 and GPT4 about beer facts. Model 3.5 provides concise, interesting, and human-friendly answers, while GPT4 gives detailed and fact-paced responses, which may not be suitable for all audiences.
  • 07:33 Comparison of GPT3.5 and GPT4 prompts for beer-related questions, highlighting the importance of specific wording for desired results.
  • 10:02 Comparing GPT 3.5 and GPT 4's responses to prompts, showing how GPT 3.5 provides more personal and detailed answers, while GPT 4 is more restricted and less opinionated.
  • 12:21 The video discusses the differences between GPT3.5 and GPT4, the importance of crafting prompts, and the introduction of a new prompt engineering course.

GPT 3.5 vs. GPT4: Uncovering Differences and Ideal Use Cases

Summaries → Science & Technology → GPT 3.5 vs. GPT4: Uncovering Differences and Ideal Use Cases