GPT-4o for Business: The Evolution of Artificial Intelligence

Astonishingly quick responses in online store chats, personalized learning roadmaps for online courses, and well-suggested products during online shopping — GPT is not just adept at chatting; it can also be precious for online businesses.

Generative Pre-trained Transformer, or GPT, is a term on everyone's lips today — from children to large corporations. GPT is revolutionizing various fields and surpassing the boldest expectations. OpenAI's new GPT-4o model can mimic emotions, speak aloud (in multiple dialects), and handle embedded files. This opens up incredible opportunities for businesses, which we explored in our previous article. We aim to discover the secrets of this technology and the conditions that influence its effectiveness today.

How computers got a “brain”

Notably, the mathematical neuron concept was born in 1943, but it was only in the 1980s that attempts to teach machines to think emerged. It wasn't until 2017 that Google (unsurprisingly) introduced a revolutionary type of neural network called “transformers”. These transformers created the foundation for many modern AI systems, some of which can write music and poetry. The evolution of GPT models since then has been as follows:

• GPT-1 (2018) — 117 million parameters;
• GPT-2 (2019) — 1.5 billion parameters, significantly improved text generation;
• GPT-3 (2020) — a powerful model capable of performing tasks without additional training;
• GPT-4 (2023) — a turbo model with new algorithms and high intelligence;
• GPT-4o (2024) — the fastest model to date.

ChatGPT has rivals who are also using artificial neural networks. Language models like Google's Gemini, Microsoft's Bing, Anthropic's Claude, Meta's Llama, and others are among the ones that write texts, analyze data, and create illustrations. OpenAI's GPT-4 is preferred due to its interactivity and is utilized in numerous applications, such as ChatGPT, Bing for more relevant answers, GitHub's Copilot, and others.

What makes neural network technology so powerful? Essentially, it mimics how neural networks in the human brain function. Each artificial neuron receives data — whether pixels from an image or words from a text — processes it, and passes it along, forming complex networks. This has highly practical implications: today, neural network algorithms can identify biological materials at a microscopic level, recognize faces, find similar images, and much more.

How does it work? To teach an AI to recognize a cat in an image, it first gets trained on thousands of cat images. The AI picks up on similarities like ears, fur, and body shape. If a specific ear shape appears in thousands of cat images, it flags it as a marker for recognition. Combining these markers helps the AI determine if an image is of a cat. This process is a lot like how the human brain works: neurons are connected, and these connections help compare new information with what's already known, like recognizing the shape of a cat's ears.

What's revolutionary? In the latest versions of GPT, each input fragment is assigned a “weight” like a coefficient, and all these weights are summed up. The network then decides whether to pass this data forward or focus on more critical information, conserving resources for that. The adjustment of these “weights” has allowed AI to minimize the difference between expected and actual results.

This “attention” mechanism has been groundbreaking. Add to this the advancements in Natural Language Processing (NLP), which have taught artificial intelligence to understand, interpret, and generate human language both in written and spoken forms (as seen in GPT-4o). Artificial intelligence is now a new era in development due to the refinement of machine learning algorithms and the internet's access to vast amounts of data.

Today, artificial intelligence as a broader field encompasses data science and machine learning, including areas such as natural language processing, robotics, and machine learning.

AI mimics human intelligence, including the ability to think and perceive. It's no surprise that this makes people uneasy.

Hello, SkyNet?..

The rapid advancement of artificial intelligence technologies is causing concern around the world. Some people are genuinely worried about GPT taking over the world, and there are predictions of future job losses in companies where AI might replace specialists.

In reality, to meet the ambitious plans depicted in Western cinema, GPT needs to be significantly improved. It's just a language model that can be a valuable tool for everyday tasks.

Think back to the time when engineers meticulously drafted each detail by hand, measuring every millimeter and carefully checking proportions. Once the design was complete, parts were manufactured and tested, a process that took days. The introduction of the first computers and 2D and 3D software revolutionized engineering, automating complicated calculations and permitting instant virtual testing of parts for compatibility.

Of course, there was also a phase of skepticism about the accuracy of results, cycles of calibrations, and concerns that machines would replace human workers. However, engineers are still needed today, and what has changed is the tool in their hands. This shift has fundamentally transformed The world of technology, allowing them to focus on more creative aspects of their work.

What's new in GPT-4o?

The new GPT-4o technology processes incoming data at revolutionary speeds. When describing the background of a colleague's video during a meeting, we typically mention the interior style and the bookshelf with interesting books, but we wouldn't bother with trivial details like a sun glare on the wall. Amazingly, GPT-4o has learned to “see” in this “economical” and “logical” way, much like a human. This has been showcased in recent presentations from OpenAI.

This multilayer artificial neural network has more than 100 billion neurons and can communicate in 26 languages. It can also analyze pixels, words, and audio.

Throughout its existence, GPT has continually learned from a vast array of text to understand the nuances of language, identify patterns and connections, and consider tone, style, and audience. This has made it possible to solve tasks that previously seemed unattainable for machines. Moreover, modern neural networks autonomously adjust their “weights” to strive for even more accurate data.

Humans are an essential part of this process. For example, the new GPT-4 model was additionally fine-tuned by over 70 external experts from fields such as social psychology, misinformation, bias, and fairness to minimize risks and errors.

What can ChatGPT do for you?

Thanks to its new capabilities, GPT has become a valuable assistant in business, now able to “see”, “hear”, and process large amounts of data even faster, providing feedback in clear language. Essentially, it is now a more advanced form of artificial intelligence, capable of performing most intellectual tasks that a human can handle.

How to ask ChatGPT a question

ChatGPT is accessible to everyone as a conversational interface that can be opened in a browser. You can create multiple chats within it, providing different data for various tasks. For example, you could converse with a “bookkeeper” in one chat, a “lawyer” in another, and a “marketer” in a third. In this process, AI will resemble an external consultant: the more details and input data you gradually provide, the more accurate and relevant the response will be, and the chats themselves are saved in a structured manner.

For businesses, integrating GPT into websites, online stores, web portals, or CRM systems is highly advantageous. This AI model can be fine-tuned more precisely, and through API integrations, it will operate more reliably and efficiently. Via a web interface, GPT can manage documents, generate product descriptions and blog content, assign tasks through function calls, and serve customers through intelligent chatbots, as leading market players do today. GPT's capabilities include analyzing sales and customer feedback, providing reports regularly or on demand, and automating various business processes.

How to integrate GPT into web product

By integrating GPT into a business's web resource, services can be taken to the next level with tools like these:

• Enhancing customer interactions via chatbots, emails, and personalized offers based on preferences.
• Monitoring customer behavior and emotional responses to address user concerns and improve weak points promptly.
• Evaluating business processes, profitability, and customer churn.
• Creating system content such as product descriptions or educational materials.
• Developing customer profiles based on segmentation, which is useful for marketing efforts.
• Maintaining databases and enriching customer information.

GPT is capable of integrating with other AI systems to offer additional features, such as voice prompts or computer vision, which can identify customer photos.

To implement GPT into your online product, you'll need web development services. Here are some ways to integrate GPT:

• Server-Side script: this script handles user requests from the interface and communicates with OpenAI using an API key.
• ChatGPT.js library: a JavaScript library that makes it easy to add GPT to your website's HTML code.
• Docker container: hosting a Docker container with GPT on the same server as your website.
• OpenAI SDK tools: using ready-made SDK tools from OpenAI, such as API Playground, Whisper, and DALL-E, which require no coding.

API integration is recognized as the most effective method. With this approach, GPT runs on a remote server, which reduces the load on your local infrastructure and enhances data security. Plus, as GPT evolves, you can easily integrate new features by updating the integration code.

Web development companies like Asabix offer services to integrate GPT into your systems. Here’s how the process typically unfolds:

1. API preparation: they set up specific API tools through which your systems will interact with GPT. This involves defining request formats, authorization levels, and other parameters, such as the generation temperature, which affects the accuracy and creativity of responses.
2. Model calibration: GPT is fine-tuned to meet your business needs. This usually involves training the model on company-specific data, such as interaction scenarios among different roles (system, user, manager) or collections of sales scripts. The AI establishes connections and learns to navigate similar situations, which are then tested on a separate data set. If required, additional or new training data sets are created with more examples or better formatting.
3. Thorough testing: the model undergoes rigorous testing to ensure GPT integrates smoothly and works correctly in all possible scenarios. Once the responses are satisfactory, they are transitioned to handle real tasks.
4. Pilot launch: a pilot version is deployed to a limited number of users to identify and rectify any potential issues immediately.
5. Feedback collection: continuous feedback is gathered to optimize the system further, analyzing performance, accuracy, and the breadth of responses.
6. Post-Integration support: the API provider, OpenAI, handles ongoing technical maintenance and software updates for the GPT model. Essentially, GPT acts as an external service, allowing modern businesses to save on infrastructure costs.

No post-integration support is required, as the GPT model software is maintained and updated by the API provider, OpenAI. In fact, GPT is an external service that helps modern businesses save on infrastructure.

Integrating AI into web portals opens up exciting new opportunities for businesses, marking a new era in AI development. With its ability to handle large data sets, understand natural language, and learn quickly, GPT-4o is a game-changer for automating, streamlining, and enhancing business processes. This technology paves the way for better customer interactions, data analysis, and personalized content creation.

Although there are concerns about AI's impact on the job market, history shows that technological advancements usually transform professions rather than eliminate them. Companies that embrace these innovations gain a significant competitive edge.