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In this episode, we dive into the comparison between OpenAI’s advanced 01 models and GPT-4, exploring whether the extra capabilities of 01 models are necessary for most use cases. Based on a video review of various tasks—ranging from strategy planning and coding to research and mathematical problem-solving—the speaker finds that GPT-4 consistently delivers results on par with 01 models.
While 01 models, particularly 01 Mini, shine in specific scenarios requiring advanced scalability and speed, the speaker questions the need to invest in these models when GPT-4 handles 95% of tasks just as effectively. From office expansion strategies to complex coding explanations, the differences between the two models are minimal for most users.
Tune in as we break down these insights and discuss whether the higher cost of 01 models is justified or if GPT-4 remains the go-to for the majority of AI applications.
In this episode, we dive into the comparison between OpenAI’s advanced 01 models and GPT-4, exploring whether the extra capabilities of 01 models are necessary for most use cases. Based on a video review of various tasks—ranging from strategy planning and coding to research and mathematical problem-solving—the speaker finds that GPT-4 consistently delivers results on par with 01 models.
While 01 models, particularly 01 Mini, shine in specific scenarios requiring advanced scalability and speed, the speaker questions the need to invest in these models when GPT-4 handles 95% of tasks just as effectively. From office expansion strategies to complex coding explanations, the differences between the two models are minimal for most users.
Tune in as we break down these insights and discuss whether the higher cost of 01 models is justified or if GPT-4 remains the go-to for the majority of AI applications.