Here’s a short list of the integrations we currently know about: To that end, we’re starting to see the technology adopted in existing apps and services. This naturally makes it ideal for a range of use cases, from education to customer service. GPT-4 is a multimodal model, which means it can process more than one kind of input. These changes may seem minor at first glance, but they all add up to make GPT-4 incredibly powerful. For example, it can predict to be a pirate or a tutor, the latter of which is showcased in the screenshot above.
Improved creativity: GPT-4 can take on different personas and stay in character.Moreover, the model is less prone to hallucinations (where it confidently responds with fake or fictional information). Logical reasoning: OpenAI says GPT-4 delivers 40% more factual responses than its predecessor.This is a big step up over the existing ChatGPT limit of 4,096 characters, which includes the input prompt as well as the chatbot’s response. Larger input size: GPT-4 can handle 25,000 words of input text, which means it can analyze complex topics and respond to prompts with more context.Image inputs: You can present GPT-4 with images, graphs, and infographics instead of typing in a prompt.When presented with the same scenario, GPT-3.5 landed in the bottom 10%. Capability and reliability: In a simulated exam, GPT-4’s score landed in the top 10% of test takers even though the model didn’t receive any special training.According to OpenAI, GPT-4 improves upon GPT-3 in the following ways:
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