How To Enhance GPT with Knowledge Base for Better User Experience
The Limitations of GPT
Ever wondered how your favorite AI agent comes up with such accurate responses? The secret lies in the power of Generative Pretrained Transformer (GPT). This AI model, trained on a vast corpus of data, can generate human-like text based on the input it receives.
But, like all things, GPT has its limitations. While it can tell you where apples originated (Kazakhstan, in case you were wondering), it might struggle with more specific topics that it wasn't trained on. For instance, if you asked about the concussion policy of your local soccer association, GPT 4 might draw a blank. So, how do we overcome this limitation?
Enhancing GPT with Knowledge Base: A Practical Example
Let's say you want to know how many weeks you need to take off football after a concussion, according to the Football Federation Australia (FFA)'s concussion policy. You ask GPT, but it can't provide a specific answer. This is where the concept of a knowledge base for GPT comes into play.
With a knowledge base, we can feed GPT additional information and teach it about specific topics. This process involves uploading relevant data to the knowledge base, which GPT can then access to provide more accurate responses.
Step-by-Step Guide to Add Knowledge Base to GPT
So, how do we do this? First, we open up our Relevance AI account and go to the build tab to add data to the knowledge base.
In our example, we would upload the FFA's concussion policy. This data is then used to create a dataset that powers our knowledge feature. Now, when we ask the same question, GPT can provide an answer based on the uploaded PDF. Simple, isn't it?
The Impact of Knowledge Base on GPT's Performance
The difference in GPT's responses before and after integrating a knowledge base is remarkable. Without the knowledge base, GPT couldn't provide a specific answer to our question about the FFA's concussion policy. But with the knowledge base, it could provide an accurate response based on the uploaded PDF.
The Benefits of Using Knowledge Base for GPT
The benefits of using a knowledge base for GPT are clear.
Not only does it allow GPT to provide more accurate responses, but it also enhances the user experience by providing specific information on niche topics. This is a game-changer for businesses that rely on AI for customer service, as it allows them to provide more accurate and helpful responses to customer queries.
Unlocking GPT's Full Potential with Knowledge Base
Enhancing GPT with a knowledge base allows us to unlock its full potential. By feeding it additional information, we can overcome its limitations and enable it to provide accurate responses on specific topics. This not only improves the user experience but also opens up new possibilities for businesses that rely on AI.
Next Steps: How to Further Utilize Knowledge Base for GPT
So, what's next? The possibilities are endless. You could continue to add more data to your knowledge base, allowing GPT to provide even more accurate responses. Or you could explore other ways to enhance GPT, such as integrating it with other AI models.
For example, we've written a guide on How to use Cohere's Rerank in an LLM Chain.
Ready to take your AI to the next level? Sign up for Relevance AI for free and get started in just a few minutes. With Relevance AI, you can do everything we've discussed in this blog post and more. Don't miss out on the opportunity to enhance your GPT with a knowledge base and provide a better user experience.
