EasyData creates solutions with ChatGPT
Artificial intelligence (AI) for your organization
ChatGPT and EasyData: What is the connection? EasyData is known as an innovative Data Science company. Therefore, quite often a question comes up from our counterparts: is ChatGPT is our competitor? Actually, it’s quite the opposite, ChatGPT perfectly matches our approach to addressing current customer demands. We have been working on similar algorithms and machine learning networks for years.
The ChatGPT revolution
ChatGPT has revolutionized the world of chatbots. Before, chatbots were not really resulting in proper conversations and annoying, while now we see this technology on a massive scale. Until the arrival of ChatGPT, the Chatbot world had looked different. ChatGPT has put an end to users’ frustration and made our technology, as we have been delivering it to our customers for years, more valuable. Basically, an important part of the work has been taken over by ‘Big Tech’, thanks to ChatGPT, and we welcome that!
Big Tech, ChatGPT, and our vision
OpenAI, the developer behind ChatGPT, has immediately become the dominant player and a trendsetter, chased by other big players trying to cut the distance. And this is just the beginning of the arms race. Further development of this technology is as unpredictable as the licensing policy changes with Big Tech companies. As it is not an open-source technology, many developers are quite precautious towards its use in their solutions. Meanwhile, EasyData does, of course, uses ChatGPT and Microsoft’s Cognitive Service platform. We see in practice that the license costs are reasonable (currently) and the technologies efficiently help in achieving the project goals.
Generative Pre-trained Transformers (GPT)
GPT (Generative Pre-trained Transformer) is an AI language model from OpenAI funded by Microsoft, among others. The purpose behind it is a Chatbot that can answer questions, translate languages and generate text. We, as programmers, also use ChatGPT to create programming code! Of course, it doesn’t mean we are going to get rid of our programmers. GPT is therefore a model that is used by OpenAI to make chatbots accessible on the Internet. This makes ChatGPT a concept in which two concepts are combined. The “Chat” technology and the AI language model (GPT).
The GPT machine learning model teaches itself by interacting with users. As long as users provide input prompts and feedback on the generated answers, the model uses this input to improve language comprehension and generate more accurate and relevant answers in the future.
ChatGPT VS Alternatives.
EasyData uses ChatGPT as the technology delivers outstanding results. As a Microsoft partner, we are familiar with the Cognitive suite. Our customers expect efficiency and fast results, hence our weapon of choice. Not in all cases thought, as EasyData has been developing Machine Learning networks for tasks for years. And we will continue to do so, while ChatGPT technology comes in where needed by mutual decision with our customers. They can then make their own choices based on their strategic considerations.
These choices are made between GPT and open-source ML models that deliver virtually identical performance and functionality. In the latter case, the advantage is that we have more control over open-source models/neural networks and therefore can seamlessly integrate them in our IT architecture. As a result, less computing power and external connections in the solution are needed.
Considerations for a different technology.
Data privacy
Organizations want to keep control over their data and not share it with external systems. This is in line with GDPR regulations restricting sensitive and personal data access outside of processing environments.
Customization
With the self-adaptation of Machine Learning networks, developers can train large language models with their data and while filtering specific topics/areas if required.
Affordability
With open-source GPT models, you can develop advanced large language models yourself. The training process has no impact on license conditions, and you are not bound to using specific hardware.
AI Transparency
You open the door to research. Use produced results with no data use restrictions from external manufacturers.
Want to work with smart algorithms yourself?
Contact us to discuss the possibilities that best suit your situation.
