OpenAI has just pulled back the curtain on GPT-4o, marking a significant advancement in artificial intelligence. That’s over a year since they launched their last milestone model, GPT-4. So, how does this new model compare? Is there a huge difference in the quality of the content it generates? Is it worth the hype? Here’s everything you need to know about the latest iteration of OpenAI’s generative pre-trained transformer, from its features to who can get their hands on it. What is GPT-4o? GPT-4o stands for Generative Pre-trained Transformer 4o. It is the latest model in OpenAI’s portfolio, designed to push the limits of language understanding and generation even further. GPT-4o is built on advanced neural networks to provide high-quality language processing capabilities, making it a jack-of-all-trades in the AI world. Key features of GPT-4o .stk-cbaffe2{height:24px !important} Enhanced context comprehension GPT-4o offers significant improvements in understanding and generating contextually relevant text. Whether it’s maintaining coherent conversations or drafting articles, the model handles complexity with ease. Multi-modal capabilities Much like its predecessor, GPT-4o can process and generate both text and images, making it a versatile tool for a broad array of applications. This capability extends to generating image descriptions, helping with visual recognition tasks, and even creating multimedia content. Expanded token limit GPT-4o can handle a substantially higher number of tokens in a given context, enabling it to manage more extensive texts and intricate conversations without losing coherence. Advanced problem-solving OpenAI has fine-tuned GPT-4o to excel in complex problem-solving tasks, ranging from…OpenAI unveils GPT-4o: Everything you need to know