š GPT-4 is generally considered better than ChatGPT 3.5, but there are some use cases where ChatGPT 3.5 performs better.
š The speaker conducted his own experiments to find these use cases, testing prompts in both GPT-3.5 and GPT-4.
š» The speaker offers an ebook and a Prompt Engineering Course for those who want to learn more about creating effective prompts.
š GPT-4 has higher guardrails and is more limited in its freedom of thought compared to GPT 3.5.
š¼ ChatGPT 3.5 can simulate job interviews and provide scripts for conversation scenarios.
š§ GPT-4 performs better in generating creative answers, but is less human-like in interview scenarios.
š¤ GPT-4 is more rigid and less human compared to GPT 3.5
š„ GPT-4's responses are less human and more fact-based
š” GPT-4 has higher guardrails and generates rigidly by default
š£ļø GPT-3.5 has more concise responses compared to GPT-4
š GPT-4 performs better in job interview simulations
š GPT-4 is better at asking questions and engaging in interaction.
š” GPT 3.5 is excellent at uncovering unique and interesting information on any given topic.
šŗ Both GPT-4 and GPT 3.5 provide fascinating facts about beer, such as spontaneous fermentation and ancient Chinese beer recipes.
šŗ ChatGPT 3.5 provides a more engaging and interesting response with information about the history and process of beer brewing.
š GPT-4 offers a heavily detailed answer, which may not be suitable for topics that require less specific information.
š” The comparison between ChatGPT 3.5 and GPT-4 highlights the importance of considering the desired level of detail and engagement when generating responses.
š GPT-4 uses more specific prompts that imply misunderstood or overlooked aspects.
šŗ Yeast plays a crucial role in flavor profiles and the brewing process.
š” Understanding yeast in beer helps appreciate its diversity and enables brewers to achieve specific flavors and aromas.
š GPT 3.5 provides more unconstrained results compared to GPT-4.
šŗ GPT 3.5 generates practical knowledge about beer serving temperature and glassware.
š” GPT 4 performs well in generating opinions on important qualities in different contexts.
š GPT 3.5 emphasizes the importance of adaptability for leaders in startups.
š” GPT 4 also acknowledges the significance of adaptability in running a startup but with a less confident tone.
š± Both versions highlight the need for leaders to navigate the ever-changing business landscape and embrace opportunities for growth.
š The most essential quality for a leader is adaptability.
š” GPT-3.5 is preferable over GPT-4 when asking for a general opinion.
š Crafting specific prompts requires more customization beyond copy-pasting.
šÆ Prompt engineering is the key to achieving specific results and saving time with language models like ChatGPT 3.5 and GPT-4.
š” A brand new course has been developed to teach prompt engineering from basics to advanced techniques, offering valuable insights and strategies.
ā ļø The video focuses on intermediate to advanced users who want to enhance their prompt engineering skills.
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