OpenAI recently released its new technology and here are the top 5 ways workers can use GPT-4

Because of how quickly artificial intelligence is developing, it might be challenging to stay up. The language model that powers ChatGPT, GPT-4, has released a new version with considerable improvements over GPT-3 and 3.5. It is touted that workers can use GPT-4 to improve productivity and quality of work.

The company's newest language model, GPT-4, can accept inputs of both text and images, as opposed to GPT-3 and 3.5, which only supported text. Learn more about how workers can use GPT-4 in this article. GPT-3.5 is used by OpenAI's ChatGPT, the program that made AI so understandable and available to the general population. People and corporations must purchase the US$20/month ChatGPT Plus version to utilize the capabilities that GPT-4 can provide. Here are the top 5 ways workers can use GPT-4 to improve productivity.

1. Ask GPT-4 to Read a 50-Page Contract

Although not every one of us handles enormous contracts, the fact remains that GPT-4 may eat up to 50 pages of text in ChatGPT Plus. It is double what the earlier versions were capable of. You may use GPT-4 to complete the task for you rather than taking the time to read a lengthy document, whether it is a contract or a white paper that may be 20 or 45 pages long. It demonstrates how crucial it is for employees to comprehend both the entire potential of GPT-4 and the most effective ways to activate it to produce the desired results for the task. For instance, you could easily ask it to compose an email expressing your concerns to the individual who shared it once it provides you with the output of the contract's top areas of concern.

2. Upload Images for Social Posts

The fact that GPT-4 can accept both text and picture outputs is one of its strongest features. But it's only accessible through the API. As a result, you won't be able to use ChatGPT Plus to access this. It won't be available outside of other items. During the OpenAI presentation, the creator photographed a napkin drawing of an application and had GPT-4 convert it into website code. It's quite astounding. 

3. Consider Treating GPT-4 as Another Employee

With GPT-4, so much more subtlety is available. The previous models would provide results that, although appearing to be a true solution, were not. For instance, there was a fad when individuals would inquire on ChatGPT, "Who is [insert your name]?" and would frequently invent various occupations that person had done, claim they had awards that they didn't, and were mistaken about where they had studied. It's only one example, but ChatGPT would routinely fabricate information while making it seem real.

4. Train GPT-4 to Learn Your Tone of Voice

Almost all experts stressed how crucial it is to teach GPT-4 to recognize your tone of voice, and some even advised writers to do this to ensure that their articles are written in their distinctive manner. Although some (or many) journalists would find that to be a bit of a reach, teaching GPT-4 to recognize your writing style may be useful in other situations.

It returns to be able to input more data than its forerunner. If you supply several emails or social media posts that you've already written, it will be able to better grasp your writing style and produce better results when you request text in the future. It used to be essential to severely alter ChatGPT responses for them to appear to be coming from you or to reflect the tone of your business. Today, training is simpler.

5. Ask GPT-4 for Personalized Interview Questions

AI has indeed altered the recruitment landscape. Companies must get better at recognizing when an applicant added artificial intelligence (AI) to their cover letter or CV. Yet, GPT may also benefit recruiters because it makes it easier for them to produce automated messaging. With GPT-3 and 3.5, that may have meant requesting a brief message to post on LinkedIn and email to prospective applicants for jobs such as, say, a data analyst position in New York City. Nonetheless, it would often be devoid of any true personalization.

You may now create a highly customized message requesting an interview by entering data from a possible candidate's LinkedIn profile, website, and other social media. Now that one applicant has worked in the sector for ten years, reached senior positions, and has also indicated an interest in stepping into a more consultative role, GPT-4 can produce something. The recruiter may be able to fill more vacancies more quickly and with more success thanks to this personalization.