GPT-4o explained: Everything you need to know – TechTarget
OpenAI is one of the defining vendors of the generative AI era.
The foundation of OpenAI’s success and popularity is the company’s GPT family of large language models (LLM), including GPT-3 and GPT-4, alongside the company’s ChatGPT conversational AI service.
OpenAI announced GPT-4 Omni (GPT-4o) as the company’s new flagship multimodal language model on May 13, 2024, during the company’s Spring Updates event. As part of the event, OpenAI released multiple videos demonstrating the intuitive voice response and output capabilities of the model.
GPT-4o is the flagship model of the OpenAI LLM technology portfolio. The O stands for Omni and isn’t just some kind of marketing hyperbole, but rather a reference to the model’s multiple modalities for text, vision and audio.
The GPT-4o model marks a new evolution for the GPT-4 LLM that OpenAI first released in March 2023. This isn’t the first update for GPT-4 either, as the model first got a boost in November 2023, with the debut of GPT-4 Turbo. The GPT acronym stands for Generative Pre-Trained Transformer. A transformer model is a foundational element of generative AI, providing a neural network architecture that is able to understand and generate new outputs.
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GPT-4o goes beyond what GPT-4 Turbo provided in terms of both capabilities and performance. As was the case with its GPT-4 predecessors, GPT-4o can be used for text generation use cases, such as summarization and knowledge-based question and answer. The model is also capable of reasoning, solving complex math problems and coding.
The GPT-4o model introduces a new rapid audio input response that — according to OpenAI — is similar to a human, with an average response time of 320 milliseconds. The model can also respond with an AI-generated voice that sounds human.
Rather than having multiple separate models that understand audio, images — which OpenAI refers to as vision — and text, GPT-4o combines those modalities into a single model. As such, GPT-4o can understand any combination of text, image and audio input and respond with outputs in any of those forms.
The promise of GPT-4o and its high-speed audio multimodal responsiveness is that it allows the model to engage in more natural and intuitive interactions with users.
At the time of its release, GPT-4o was the most capable of all OpenAI models in terms of both functionality and performance.
The many things that GPT-4o can do include the following:
There are several ways users and organizations can use GPT-4o.
Here’s a quick look at the differences between GPT-4, GPT-4 Turbo and GPT-4o:
Sean Michael Kerner is an IT consultant, technology enthusiast and tinkerer. He has pulled Token Ring, configured NetWare and been known to compile his own Linux kernel. He consults with industry and media organizations on technology issues.
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