top of page

What does GPT mean, anyway?

Small business champions, surely you've heard of ChatGPT? Well, if you're among the six in ten adults in the US who are already familiar with it, you're in good company. But let's peel back the curtain a bit and dive into the tech magic behind it, shall we? This is where the real fun begins for us, the savvy entrepreneurs, looking to leverage cutting-edge tech to stay ahead.

The Summary ...

  • GPT Evolution: Successive GPT versions improve in understanding and creativity, with GPT-4 adding image processing.

  • Enhancements in GPT-4: Offers better accuracy, creativity, and image-text integration than GPT-3.5.

  • Focuses on safety, reliability, and customization for nuanced interactions.

  • Small Business Impact: AI models like GPT-4 and provide tools for enhanced customer service and content creation.

  • Model Selection: Choose based on your business's specific needs for customer engagement or data analysis.

The Details ...

First off, what's in a name? ChatGPT's "GPT" stands for Generative Pre-trained Transformer. It's a fancy way of saying it's a brainy piece of tech that mimics human conversation pretty convincingly. And for us in the small business realm, that means a tool capable of understanding and engaging with our customers on a whole new level. Imagine a 24/7 virtual assistant, ready to chat away and keep your clients engaged.

Now, onto the versions. The standard ChatGPT runs on something called GPT-3.5. But there's also a ChatGPT Plus that uses GPT-4, the newer, shinier model. Think of it like the difference between last year's smartphone model and this year's—it's just got a bit more oomph. For small business owners, deciding between them might come down to how cutting-edge you want your customer interactions to be.

GPT-3.5 is the workhorse behind the free version of ChatGPT. It's been around the block and is pretty good at its job, generating both natural language and even code. For small businesses, this means a cost-effective way to start experimenting with AI without breaking the bank.

But then there's GPT-3.5 Turbo, a more refined version available for developers. If you're looking to customize the AI experience for your business, this could be your go-to. It's about fine-tuning the engine under the hood for a smoother ride with your specific needs in mind.

Enter GPT-4, the latest and greatest, unveiled with much fanfare. It's not just about text anymore; this model can handle images too, turning it into a multifaceted tool that could transform how you interact with content and data. For a small business, this could mean the ability to quickly interpret visual data or offer more interactive customer service options.

And the best part? While GPT-4 comes with a price tag for those wanting the premium experience, there's a little loophole for the budget-conscious among us—Microsoft Copilot. It offers a taste of GPT-4's capabilities without the subscription, perfect for small businesses looking to dip their toes into more advanced AI waters without a commitment.

So, why does all this matter to you, the small business owner? In the ever-evolving world of business, staying ahead of tech trends can give you an edge. Whether it's engaging your customers through smarter chatbots, automating responses to common inquiries, or even analyzing data with an AI twist, understanding and utilizing these AI models can open up a world of possibilities. It's about finding the right tool for the job, and in the world of GPT, there's plenty to choose from. Happy exploring!

Comparing models

Let's compare the intellectual capabilities of GPT-3.5, GPT-4, and That involves considering a variety of factors including language understanding, problem-solving abilities, creativity, multimodal capabilities, and more., developed by Anthropic, is another advanced AI model designed to compete with OpenAI's offerings. It's worth noting that direct comparisons can be challenging due to differences in their development goals, available benchmarks, and the specific tasks they're optimized for.





Language Understanding


Very High

High to Very High

GPT-4 shows superior nuanced text understanding. also focuses on understanding and generating human-like responses with a high degree of nuance.

Problem-solving Abilities

Moderate to High

High to Very High

High to Very High

Both GPT-4 and exhibit advanced problem-solving capabilities, often outperforming GPT-3.5. is designed to be safer and more reliable in its responses.

Performance on Standardized Tests




GPT-4 scores higher on benchmarks.'s performance is not as extensively documented in public benchmarks, making direct comparison difficult.

Multimodal Capabilities


Text and Image

Text-only (as of last update)

GPT-4 can handle both text and image inputs, a significant leap over GPT-3.5., primarily focuses on text-based interactions.

Creativity and Generation Quality


Very High

High to Very High

GPT-4 generates more creative content. is praised for its ability to generate human-like and contextually appropriate responses, showing a strong grasp of context and creativity.

Reliability and Factuality

Less Reliable

More Reliable

Designed for High Reliability

GPT-4 reduces incorrect information generation. emphasizes safety and reliability in its design, aiming to produce accurate and contextually appropriate responses.

Customization and Control


More Flexible

Highly Customizable

GPT-4 offers improved customization options. is particularly noted for its ability to be fine-tuned and controlled by users, making it adaptable to specific use cases.


  • Language Understanding and Problem-solving Abilities: Both GPT-4 and represent advancements in AI's ability to understand complex language structures and solve problems with greater accuracy. has been specifically designed with an emphasis on safety and reliability, which may impact its approach to problem-solving and language understanding.

  • Performance on Standardized Tests: While GPT-4's improvements in standardized tests are well-documented,'s performance in such metrics is less publicly known, due in part to Anthropic's focus on reliability and safety over benchmark scores.

  • Multimodal Capabilities: As of the last update, primarily focuses on text, whereas GPT-4 introduced capabilities to interpret and respond to both text and images, highlighting a significant divergence in their development paths.

  • Creativity and Generation Quality: is recognized for its nuanced and context-aware responses, which are a result of Anthropic's focus on creating AI that closely mimics human-like interactions and understanding.

  • Reliability and Factuality:'s design philosophy emphasizes the creation of a model that is not only capable of understanding and generating human-like text but also does so in a way that minimizes misinformation and errors, aiming for high reliability in its outputs.

  • Customization and Control: stands out for its adaptability to specific user needs and scenarios, offering a high degree of customization and control over its responses, which is particularly appealing for applications requiring tailored AI behavior.

This comparison highlights the unique strengths and focuses of each model, with GPT-4 offering broad capabilities including multimodal input processing, and emphasizing safety, reliability, and customization. For users and developers, the choice between these models will depend on their specific needs, whether they prioritize creative generation, the flexibility of inputs, or the safety and reliability of responses.

4 views0 comments

Recent Posts

See All


bottom of page