“The Power of GPT: Achieving Better Results than Traditional Search Engines for Bankers”

Fluid AI
4 min readApr 21


“Savio is still sitting on his deck, putting in endless hours into finding the appropriate information for his future investment strategy on search engine platforms. He must have read and examined countless research papers, but despite all of that, he has been unable to fulfil his true desires.”

“Is your bank set up in this way for devoted customers like Savio, who must consider the search engine platform before making a choice rather than relying solely on your final advice?”

Fear not — we’re introducing the generative pre-trained transformer (GPT), a new approach for processing natural language (NLP). The model is trained to create content that is coherent and has a flow that is natural and engaging, rather than just taking a text and trying to find the most relevant results on search engines.

How Does GPT Function?

The beauty of GPT is that it can be applied to all kinds of NLP tasks. For example, it can be used to search for items such as jobs, ,bank, apartments, cars, or college courses. In the above instance of Savio, we will search for the best scheme to invest in mutual funds.

GPT starts by taking an input text, in this case “scheme to invest in mutual funds,” and using information such as the location of the bank, the type of investment, and whether or not it is future-benefit to infer other relevant information.

Once it has enough relevant data, it will start producing content in the form of sentences, paragraphs, bullet points or even whole blog posts to complete the task. The content it produces will be based on the input text and, potentially, on other texts or documents that it has read during training. This makes GPT a truly adaptive model capable of performing well in a wide range of tasks.

#Key Differences from Traditional Search Engines:

The transformer is trained to produce coherent content in a useful format rather than just returning sets of closely related documents, which is one of the primary differences between GPT and traditional search engines. As a result, using GPT for tasks like writing a blog post, coming up with a marketing pitch, or responding to an inquiry can be more productive.

Why Optimize GPT To Achieve A Better Result?

Regardless of your technical expertise, you will almost certainly have interacted with search engines at some point in your life. If you are reading this, then you are probably already familiar with the ways that search engines work and how they provide value. Traditional search engines are very effective at returning sets of documents relevant to the input text.

One of the major drawbacks of traditional search engines is that they are not always the best at integrating external information into the content that they return. For example, if we search for “best insurance company in Kingston,” we will get back sets of document results that look something like this:

~The information in results one through ten are all relevant to our search query and can be used to provide a quality user experience. However, results eleven through twentieth are not actually part of the content that we are searching for and, as a result, do not contribute to the value that the platform provides. If we had more sophisticated methods of extracting information from text, then we could use tools such as Google Suggest to get an idea of the types of content that we are missing out on simply because it is not yet available on the platform.

Generative pre-trained Transformer provides an easy way to combat this issue and bring more relevant content to light. Once the model has been initialized and trained, you can ask it to generate content on-demand in the form of text, links, or any other valuable piece of information. As a result, GPT provides a level of usefulness that is unique in the world of search engines. Additionally, as the content that it produces is tied to the task that it is solving, it can be both personalized and adapted to suit the specific needs of the user. This makes it much more interactive than traditional search engines, which provide a one-way flow of information.

How To Adapt A GPT For Your Organization ?

Now, you might be thinking that just bringing more relevant content to light is enough to establish GPT as a more effective means of finding information. However, there is still more that you can do to make it a worthwhile investment of your time and effort.

For example, Fluid AI GPT is a customized GPT that provides as a checkpoint within your current organization structure, allowing the bank to use it for content generation across marketing use cases and other content use cases such as Email Creative Creation, Newsletter, Blogs, and Web Copy.
As a B2C offering, traditional search engine only provide generic content and have no knowledge of your organization, its products, or your personal preferences, which sets them apart from other platforms in terms of quality. Fluid AI Enterprise GPT will help you to ingest all your data to the algorithms so that they can properly understand your organization.

The content you produce won’t be of high quality or uniqueness if you only use an AI generator. The exact same thing will happen like traditional search engine.

We believe that the benefits of using GPT for content generation are vast. It improves the quality of your service, thus making it more reliable, trustworthy, and shareable. Not only that, but this specific AI is particularly adept at generating evergreen content, which we know is essential in the financial sector. Not to mention its ability to create conversational tone across all content types. So if you’re looking to generate great content and achieve better results than search engines, Fluid AI’s GPT will certainly help. As an added bonus, it would be pretty hard to automate and replicate manually as well!