GPT-4 is an impressive artificial intelligence tool that has gone through rigorous refinement to offer vastly improved reasoning capabilities, reduced errors, and the ability to process inputs with great lengths, such as entire documents or thousands of words.
During its launch, OpenAI has the model’s successful completion of safety training for 6 months. Internal tests have indicated it’s 82% less likely to respond to requests for banned content and 40% more likely to generate factual responses than GPT-3.5.
Recently, Morgan Stanley recently made use of this technology to organize their expansive collection of investment strategies, market analysis, and other analyst insights. GPT 4 is more adept at document comprehension than its predecessor, GPT-3. It also offers increased input and output possibilities by way of its multi-modal elements.
The newly launched technology brings a host of new use cases that weren’t previously possible. Companies can gain an edge in their industry by harnessing the capabilities of GPT-4 such as natural language processing, multitasking, and advanced personalization features.
That being said, here are 5 real-life examples of how Chat GPT 4 is already making waves among users!
GPT 4 brings powerful advances to the way enterprises can communicate with their customers: virtual assistants, chatbots, and customer service interactions. Its ability to apply text, images, diagrams, and drawings will enable companies to more strongly emulate how humans structure memories and ideas. This could reimagine conversations with customers in various settings and create unprecedented opportunities for innovation.
Additionally, when the model is provided with contextual metadata such as location, trustworthiness, and quality of the information. it can be relied upon as an AI advisor.
When presented with a three-panel image of an iPhone being connected to a fake VGA cable and prompted with the question, “What is amusing about this image? Explain it panel by panel,”.
This is what GPT-4 says:
GPT-4’s partnership with Be My Eyes is an inspiring success story. Together, they are revolutionizing how the visually challenged to interact with the world. It became the perfect AI volunteer by performing tasks such as describing a dress pattern, identifying plants and objects, providing directions to a gym machine, translating labels including suggesting recipes, reading maps and more.
It’s clear that GPT-4’s understanding of visual content is impressive, but it’s important to note that it still has its limitations. For example, it may be able to describe what a dress looks like, but it might not be able to determine if it’s appropriate for a job interview.