Posts tagged "GPT4"

GPT-4 was officially revealed on March 14, although it didn’t come as too much of a surprise, as Microsoft Germany CTO, Andreas Braun speaking at the AI in Focus – Digital Kickoff event, let slip that the release of GPT-4 was imminent. 

It had been previously speculated that GPT-4 would be multimodal, which Braun also confirmed. GPT-3 is already one of the most impressive natural language processing models (NLP models), models built with the aim of producing human-like speech, in history. 

GPT-4 will be the most ambitious NLP we have seen yet as it will be the largest language model in existence.

The type of input Chat GPT (iGPT-3 and GPT-3.5) processes is plain text, and the output it can produce is natural language text and code. GPT-4’s multimodality means that you may be able to enter different kinds of input – like video, sound (e.g speech), images, and text. Like its capabilities on the input end, these multimodal faculties will also possibly allow for the generation of output like video, audio, and other types of content. Inputting and outputting both text and visual content could provide a huge boost in the power and capability of AI chatbots relying on ChatGPT-4.

Furthermore, similar to how GPT-3.5 was an improvement on GPT-3’s chat abilities by being more fine-tuned for natural chat, the capability to process and output code, and to do traditional completion tasks, GPT-4 should be an improvement on GPT-3.5’s understanding.  One of GPT-3/GPT-3.5’s main strengths is that they are trained on an immense amount of text data sourced across the internet. 

GPT-4 is trained on a diverse spectrum of multimodal information. This means that it will, in theory, be able to understand and produce language that is more likely to be accurate and relevant to what is being asked of it. This will be another marked improvement in the GPT series to understand and interpret not just input data, but also the context within which it is put. Additionally, GPT-4 will have an increased capacity to perform multiple tasks at once.

OpenAI also claims that GPT-4 is 40% more likely to provide factual responses, which is encouraging to learn since companies like Microsoft plan to use GPT-4 in search engines and other tools we rely on for factual information. OpenAI has also said that it is 82% less like to respond to requests for ‘disallowed’ content.

Safety is a big feature with GPT-4, with OpenAI working for over six months to ensure it is safe. They did this through an improved monitoring framework, and by working with experts in a variety of sensitive fields, such as medicine and geopolitics, to ensure the replies it gives are accurate and safe.

These new features promise greater ability and range to do a wider variety of tasks, greater efficiency of processing resources, the ability to complete multiple tasks simultaneously, and the potential for greater accuracy, which is a concern among current AI-bot and search engine engineers.

How GPT-4 will be presented is yet to be confirmed as there is still a great deal that stands to be revealed by OpenAI. We do know, however, that Microsoft has exclusive rights to OpenAI’s GPT-3 language model technology and has already begun the full roll-out of its incorporation of ChatGPT into Bing. This leads many in the industry to predict that GPT-4 will also end up being embedded in Microsoft products (including Bing).