News on GPT-4.5

OpenAI has released a preliminary version of GPT-4.5, the most advanced model in the GPT series. This model is accessible to users on Plus, Pro, and Team plans, as well as developers worldwide. The update occurred recently, and the model can be used via web, mobile app, and desktop. GPT-4.5 is designed to be versatile and smarter but does not include advanced reasoning capabilities.

GPT-4.5 enhances pre-training and post-training phases, boosting unsupervised learning capabilities. This means the model can recognize patterns, establish connections, and generate creative insights without the need for complex reasoning. Initial tests show that interaction with GPT-4.5 is more natural. Its vast knowledge base and improved understanding of user intent make it useful for tasks such as writing, programming, and solving practical problems. OpenAI also anticipates a reduction in hallucinations, which are incorrect or misleading responses.

The preliminary version of GPT-4.5 was released to evaluate the model's potential and limitations. The goal is to observe how users can utilize the model in innovative ways. Compared to GPT-4 and the "o" series models, GPT-4.5 has a broader knowledge base and a more natural conversational style but lacks the ability to perform detailed logical reasoning. The strengths of GPT-4.5 include its effectiveness in creative tasks and complex situations, such as writing and problem-solving. A lower error rate and more reliable performance across a wide range of topics are expected, fostering richer conversations.

However, GPT-4.5 has some limitations. It lacks sequential reasoning capabilities, and its speed may be slower due to the model's size. It also does not support advanced multimedia outputs like audio and video. Although it is a versatile model, performance in complex logic and mathematics remains inferior to the "o" series models. Despite a lower incidence of errors, GPT-4.5 does not always guarantee completely accurate responses, so verification for important content is advisable. Additionally, the model can receive image inputs, generate SVG images, and access updated information through web searches. It supports all file formats and types.