How to improve your chatbot's Response Quality?

Current artificial intelligence (AI) technology has its limitations, such as the lack of memory, the constraints on context length, and AI hallucinations (inaccurate or out-of-scope responses). To migrate these issues, in addition to ChatofAI providing advanced models and document parsing capabilities, here are some steps for you to enhance your AI chatbot's service for your website and users.

What are the 3 steps to improve your AI chatbot's response quality?

To help you maximize the improvement of your AI chatbot's responses and better serve your business, this article will guide you through the following 3 steps:

1. Help your AI chatbot play its assigned role better
2. Give your AI chatbot more readable data
3. Monitor your AI chatbot's interactions with your users and retrain it

Help your AI chatbot play its assigned role better

Why should AI play its role better? Using the human-computer dialogue technology based on the GPT-3.5-16k LLM Model, AI can interact with natural language and computers, adopting a fictional character and engaging in conversations with users using the appropriate tone of voice. Through role-playing, AI can embody experts from various fields, providing its users with more targeted services and assistance. To achieve this, you can enhance your chatbot’s ability to assume specific roles by configuring Welcome Messages and Sample Questions for the chatbot.

Welcome Messages

You can set welcome messages in the Settings of each chatbot. These messages enable your chatbot to better fulfill its intended role and communicate with users in an appropriate tone, ensuring a better user experience.

Set Welcome Messages for your chatbot and preview

Sample Questions

You can easily set up your FAQ as sample questions, which are designed to help you get started easily with the chatbot. Of course, if you want to make changes to the sample questions, you can do so in the chatbot’s Settings.

Set up sample questions for your users

Give your AI chatbot more readable data

The quality of the chatbot responses largely depends on the quality of the data sources you provide garbage in, garbage out. That’s right! Instead of expecting AI to accomplish impossible tasks, it’s better to help it complete simpler ones. The readability of the data you provide to AI is crucial. If you provide it with semantically clear documents, AI will be able to understand and respond to them better.

ChatofAI supports 4 data formats: Files, Websites, Text, and Q&A question pairs. We will explain how each of them works:

As Machine-readable data must be structured data. Therefore, you should input well-structured and easily understandable data to achieve optimal performance.

You can think of AI as a regular person. When you want it to read data and answer you, if you give it a bunch of disorganized data, it surely won't be able to give you the correct answer. Just like a normal human, it can't make sense out of chaotic information. Through testing, we found that AI performs best with clear, organized data in markdown format. Let's provide a specific example below:

My client has a website with the following structure: it uses some collapsible formatting where the content appears clear to the human eye, but when parsed by a web crawler, it becomes disorganized and chaotic. While more advanced web crawlers might not face this issue, for our discussion today, we are focusing on formatted data.

Webpage

Parsing Result

The best data format should ideally be clear and well-structured.

Well Structured Data

From our question-and-answer tests, we've found that well-structured data leads to accurate responses, while chaotic data scraped from web pages results in inaccurate answers. Therefore, when organizing document data, keep it clear, structured, and hierarchical like a markdown file. Use tags sensibly, such as headings and numbering, to provide AI with more readable data for better response effectiveness!

Monitor your AI chatbot's interactions with your users and retrain it

This feature will change the way have been training your AI Chatbot. Its main purpose is to update/supplement the chatbot’s knowledge without needing to update the entire document. You can continuously improve your AI chatbot by observing when it makes mistakes and correcting them. This is a cost-effective and efficient way.

You can access the Dashboard of the Chatbot to view its interactions with users, and every time you notice your AI make a mistake or want it it respond in an even better way, simply edit the answer and the AI will learn from your answer for all future conversations! No more banging your head to figure out the right magical spell to make your prompt work or trying to figure out the right way to structure your data. You can now essentially turn your AI Chatbot into an ever-learning, ever-improving conversation machine!

View more details from here 👉 Re-train Your Chatbot

Edit your chatbot's answer for retraining

How have we optimized AI response effectiveness?

We analyzed the working principle of AI from input -> underlying model -> output and sequentially optimized the following 3 steps:

1. Input: More Advanced Document Parsing Tools
2. Underlying Model: More Advanced LLM Models
3. Output: More Advanced Chat Mode

Input: More Advanced Document Parsing Tools

We developed more advanced document parsing tools to convert all documents into markdown format, particularly optimizing for PDF files by better extracting tables from PDF and HTML files. We also expanded support for additional file types such as scanned PDFs, Docx, Excel, and CSV. The parsing tool is continuously being refined.

We are continuously enhancing our document parsing capabilities to present documents more effectively to AI. Currently, we have developed an in-house document parsing API that can convert PDFs, Docx, HTML, Excel, CSV, and other files into Markdown format. However, even with strong parsing capabilities, if the original document is chaotic and unclear, the effectiveness of AI responses will be compromised. Quality matters more than quantity when it comes to data.

Powerful Document Parsing and AI

Underlying Model: More Advanced LLM Models

By default, we employ OpenAI's latest model to provide the AI with more information, enabling it to generate better responses.

Output: More Advanced Chat Mode

We've found a new approach to reduce AI hallucinations. Our chatbot primarily relies on provided data and includes citations for every response. By default, the chatbot operates in QA mode, but you can customize this in the chatbot's settings page.

Every response, is backed by citations.

Next steps

By implementing these strategies, you can significantly enhance your ChatofAI chatbot’s ability to provide useful responses, leading to more successful interactions. In the next article, we will provide you with information on integrating the chatof.ai chatbot into your Websites or APPs or your favorite tools like Slack 🎉.