Artificial intelligence has taken huge strides in recent years, and the debut of GPT-4 is no exception. This article will explore the newest version of GPT and compare it to previous models like ChatGPT and GPT-3.5. Additionally, we will preview the five biggest differences between the systems.
GPT-4’s ability to see and understand images
One of the biggest differences in GPT-4 is its ability to see and understand images. This multimodal capability allows for image processing and information extraction. For example, GPT-4’s partnership with Be My Eyes allows it to identify objects in real-time for visually impaired individuals. However, there are limitations to its understanding of context and subjective information.
GPT-4’s improved resistance to malicious prompts
GPT-4 has been trained on various prompts to improve its factuality and steerability, making it more resistant to malicious inputs. Compared to GPT-3.5, GPT-4 has increased stability, leading to benefits for ethical AI and preventing misinformation.
GPT-4’s longer memory
Another significant improvement in GPT-4 is its longer memory, with the token count increased from 4,096 to 32,768. This has significant implications for generating text, particularly in conversation or writing a story or essay. The longer memory allows for more coherence and continuity in the generated text.
GPT-4’s expanded multilingual capabilities
GPT-4 can answer multiple-choice questions accurately in 26 languages and can generalize to non-Romance and non-Germanic languages. This expansion of multilingual capabilities has the potential to increase accessibility for non-English speakers.
GPT-4’s customizable personalities
GPT-4 also offers improved steerability, allowing for changes in behavior on demand. This includes the possibility to change the “classic ChatGPT personality” to suit user needs. However, there are limitations in pushing the model too far beyond its capabilities.
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Overall, GPT-4 represents a significant improvement over previous models, with its ability to see and understand images, improved resistance to malicious prompts, longer memory, expanded multilingual capabilities, and customizable personalities. These developments have exciting implications for AI development and future applications.
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