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Artificial intelligence (AI) is revolutionizing industries, but many business owners think they need to build custom models from scratch to benefit. In reality, by customizing existing large language models (LLMs), businesses can automate tasks, improve efficiency, and access specialized knowledge without the time and expense of developing their own AI solutions. In this article, we’ll explore how techniques like prompt engineering, fine-tuning, and embedding retrieval can help your business tailor AI to meet its unique needs.

The evolution of IT constantly reshapes how we work, live, communicate, and network. Especially in the financial sector, information technology unlocks new opportunities for businesses, enabling them to innovate and improve their operations and security. Technology has already proven to be a major role player in the growth of the financial sector. With the popularity of digital banking and Neobanking being examples, IT is growing by leaps and bounds in the financial industry.

There is one thing that looks as revolutionary as the steam-powered engine centuries ago, surrounded by those who believe in its unique value and those who oppose and call it a waste of time. The thing is a neural network, more specifically Chat GPT - a chatbot using downloaded information to generate unique answers. It's capable of talking like a living person, composing various texts, answering questions, writing poems, and so on. No discussion, it's a perfect toy for grown-up boys and girls, but can it be beneficial to the business?

ChatGPT, as well as other AI-powered chatbots, is booming now! Somebody tries to write an essay using it, and somebody tries to fit it for programming. A bunch of people is even scared that artificial intellect may replace them very soon. So, I decided to check is ChatGPT capable of replacing content marketing experts and asked it to write several marketing texts about Umbraco