Sean Vosler
5 min readFeb 9, 2023


Photo by Clint Patterson on Unsplash

It’s the dawn of a new age — our age. The age of AI. GPT-3.5 is the latest version of OpenAI’s Generative Pre-trained Transformer (GPT-3), which promises to revolutionize how business teams operate and function. This technology can engage in conversations about a variety of topics, summarize texts, analyze social media profiles, generate captions and hashtags, provide career advice, and more. If that hasn’t piqued your interest, then perhaps its predecessor, GPT-3, will.

The Rise of OpenAI’s GPT-3

OpenAI has been revolutionizing the field of artificial intelligence with its powerful language model, GPT-3. The latest iteration of the technology, GPT-3.5, offers a range of advanced capabilities that have the potential to transform the way we interact with computers. In this article, we’ll take a closer look at what GPT-3.5 can do and what makes it different from its predecessor, GPT-3.

GPT-3 was a trailblazer in the world of AI language models. It demonstrated that computers could generate human-like text, complete with the ability to write in a variety of styles and engage in conversation about a wide range of topics. However, like any cutting-edge technology, it was not without its flaws. OpenAI has been working to address these limitations, and the result is GPT-3.5, which is even more powerful, sophisticated, and capable than GPT-3.

One of the ways OpenAI has improved GPT-3 is by training it on a blend of text and code published up until the end of 2021. This training data was vast, incorporating hundreds of thousands of Wikipedia entries, social media posts, and news articles. By digesting all this information, GPT-3.5 learned the relationships between sentences, words, and parts of words, which is what makes it so effective at generating human-like text.
OpenAI didn’t release GPT-3.5 in its raw form. Instead, it used the technology to create several fine-tuned systems that are optimized for specific tasks. One of these systems is ChatGPT, which is capable of engaging in conversations about a wide range of topics, from prose writing to explaining complex scientific concepts. Another system, text-davinci-003, is a significant improvement over GPT-3 and excels at both long-form writing and high-quality writing.

GPT-3.5 is accessible through the OpenAI Playground, which provides a user-friendly interface that makes it easy for anyone to use the technology. When you type a request into the interface, the model generates a response based on the parameters you’ve set. You can control the trade-off between speed and cost, and adjust the randomness of the output. You can also specify the length of the response, with a maximum length of 4,000 tokens.
One of the most exciting things about GPT-3.5 is the sheer number of possibilities it offers. For example, you can use it to generate investment recommendations based on your risk appetite and target sector. You can also use it to generate captions and hashtags for a video, or even to analyze a social media profile and suggest ways to improve it.

However, while GPT-3.5 is capable of generating accurate and informative responses to many types of requests, it’s not perfect. In some cases, the output may be random and unrelated to the input. This is due to the limitations of the technology, which is still learning and evolving.

Introducing GPT-3.5

GPT-3.5 is the next iteration of OpenAI’s Generative Pre-trained Transformer, coming with improvements and a series of fine-tuned models. Despite having gone largely under the radar, GPT-3.5 is beginning to make its existence known thanks to its ability to generate powerful insights and outputs. Not only can it generate an extensive variety of witty and creative captions, but it can also analyze data points of social media users, engage in conversations, and respond to complex requests with attention to nuance.

Leveraging Chat GPT Generative AI Tools

Somewhere in between GPT-3 and GPT-3.5 lies Chat GPT, a powerful generative AI tool that has recently been making strides in terms of innovation and usefulness. Take and Writesonic, for instance — these are startups that are currently building their businesses on top of Chat GPT, offering a variety of features for businesses and teams.

To get started with Chat GPT 3.5 API you’ll need to hop on the waiting list here:
At a future time it will likely be made public within the API documentation here:

What Are GPT-3.5’s Limitations?

Though GPT-3.5 is certainly impressive, it isn’t without its shortcomings. For starters, the model tends to follow a similar pattern in how it approaches prompts and provides responses. It also gets complicated requests wrong and will provide different responses to the exact same prompt when there is only one possible answer. There is also an issue with GPT-3.5 when it comes to providing input of a certain length.

Lastly, despite the large amount of data available, it must all be from prior to 2021. Thus, the current dataset, though still impressive, is relatively limited and not necessarily up-to-date.

What Can We Expect From GPT-4?

The future of AI looks incredibly bright. Though GPT-3.5 is already incredibly powerful, OpenAI’s next iteration, GPT-4, promises to hold even more potential. With the potential to address some of the flaws of GPT-3.5, have access to more recent data, and empower entrepreneurs and innovators even further, GPT-4 stands to set a new bar for AI technology. Still, not much has been published officially on the subject, but rumors still are running wild.

Step 1 — Research

Take some time to research GPT-3.5, its potential value to businesses, and the limitations it may have. This will help you understand how to best use the tool, and what issues you may need to consider when making the investment.

Step 2 — Make a Plan

Develop a plan for how you intend to use GPT-3.5, including any changes to the team’s workflow that may need to be made. Create a list of the desired outputs and benefits you hope to receive from implementing the technology.

Step 3 — Identify Resources

Identify the resources that you need to successfully implement GPT-3.5. For example, you might need additional staff members with experience in AI, or you might need to contract with an outside consultant.

Step 4 — Assess Costs

Assess the costs associated with implementing GPT-3.5 and make a budget to ensure that you can afford the investment. Be sure to factor in both the start-up costs as well as the recurring costs.

Step 5 — Create an Implementation Schedule

Create a timeline that outlines the steps that need to be taken to implement GPT-3.5, including any necessary training and testing required.

Step 6 — Monitor Progress

Closely monitor the progress of the project and adapt your plan as needed. Be prepared to make adjustments to the timeline or resources required based on any unforeseen challenges or obstacles.

Step 7 — Use Results

Once GPT-3.5 is running successfully, use the generated outputs and insights to make informed decisions and enhance the team’s workflow. Ensure that you are tracking the technology’s performance and staying up-to-date on any changes or updates.

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