AI has been transforming the way businesses operate, providing them with unprecedented efficiencies and capabilities. One of these novel capabilities is the power to create intelligent chatbots that understand, learn from, and respond to human queries in real-time.
At the forefront of this revolution is OpenAI’s ChatGPT. As a cutting-edge language model, it has proven its capabilities in engaging and responding to users in remarkably human-like ways. However, some businesses have raised concerns about its inclination to “hallucinate” or produce creative responses that don’t align with their specific business data or context.
We have good news: Our team has spent weeks researching and refining a solution that perfectly addresses this issue. We’re proud to introduce the latest feature of our AI chatbot, CustomGPT, that establishes a rock-solid boundary around ChatGPT’s responses.
In this blog post, I will show you what the hallucinations problem is and how CustomGPT has solved it so that you can safely get the best responses from your ChatGPT chatbot built with your business content.
What Is The ChatGPT Hallucinations Problem?
The ChatGPT hallucinations problem refers to a significant concern with generative AI models like ChatGPT, where the AI produces seemingly confident but incorrect or fabricated information in its responses. These “hallucinations” can manifest as false facts, misleading statements, or even references to non-existent sources.
While ChatGPT has shown remarkable capabilities in generating a wide variety of content, its error rate has been a cause for concern, particularly for businesses relying on conversational AI for their enterprise knowledge bases.
The hallucinations problem is crucial for businesses because they need accurate and reliable information to maintain their credibility and provide valuable assistance to their customers. Inaccurate or fabricated responses can lead to misinformation, confusion, and potential damage to a company’s reputation.
Furthermore, businesses want to ensure that the AI-generated responses are strictly based on their own content and do not inadvertently promote competitors or provide irrelevant information.
The Context Boundary Wall: Why is it important?
CustomGPT is our proprietary AI chatbot powered by advanced large language models (LLMs). It’s designed to ingest your business content and respond to queries based on that specific content. With the new feature, we’ve made it even better – it now ensures that every response it generates comes strictly from your business content.
Our innovative approach puts a robust boundary around the responses of ChatGPT, effectively eradicating the hallucination problem. It helps ensure that all chatbot communications stay on-brand and factually accurate, without drifting into the territory of creativity that is not based on your business content.
The importance of this development cannot be overstated. Businesses need to trust that their AI chatbot won’t recommend competitors, output falsehoods, or use information that’s not included in their business content. Our boundary-setting feature delivers precisely this effect.
With this feature, your business can harness the power of AI while retaining control over the output, ensuring that the responses are always in line with your company’s data, brand voice, and operational realities. This context boundary wall reduces the risk of misinformation, enhances customer engagement, and builds trust in your brand.
Typical Problems in Business Scenarios Due to AI Hallucinations
AI hallucinations can lead to various challenges in business scenarios, impacting customer satisfaction, brand reputation, and overall efficiency. Here are some examples of typical problems that can occur:
- Inaccurate Customer Support: AI-generated responses that contain misleading or false information can lead to customer frustration and dissatisfaction. This can result in a negative customer experience and potential loss of business.
- Misguided Sales Recommendations: AI hallucinations can cause incorrect product or service recommendations, leading to customers purchasing items that do not meet their needs or expectations. This can result in increased returns, refunds, and damaged brand reputation.
- Erroneous Data Analysis: AI-generated insights based on hallucinated information can lead to misguided business decisions, impacting strategic planning, resource allocation, and overall performance.
- Ineffective Marketing Content: AI-generated marketing materials that contain false or misleading information can damage a brand’s credibility and result in lost opportunities for customer engagement and conversion.
- Compliance and Legal Risks: AI hallucinations can lead to the generation of content that violates industry regulations or legal requirements, exposing businesses to potential fines, penalties, and reputational damage.
By recognizing these potential problems, businesses can take proactive steps to address the issue of AI hallucination and ensure that their AI-powered solutions deliver accurate and reliable results. This will ultimately lead to improved customer experiences, enhanced brand reputation, and increased operational efficiency.
Introducing Our Innovative Solution: The Context Boundary Feature
Our breakthrough feature, the Context Boundary, was developed in response to concerns about AI “hallucinations” or the tendency of AI systems to generate content that diverges from the desired context or includes information not grounded in the training data.
This new feature creates a virtual “boundary” around the responses that CustomGPT can generate. It works by imposing a strict rule that confines the AI’s responses to the data it has been given, which in this case is your business content.
How Does it Work?
The Context Boundary operates through a synergistic combination of advanced prompt engineering techniques and proprietary pre-processing methods. These ensure that the AI’s responses are consistently aligned with its data, which in this case is your specific business content.
Advanced Prompt Engineering
First, we use complex prompt engineering techniques when interacting with the ChatGPT API. These techniques allow us to guide and shape the AI’s responses more effectively. By constructing prompts in a specific manner, we can better direct the AI’s attention towards the relevant information and away from unrelated or off-topic data. This ensures that the generated responses are strictly tied to the business content ingested.
Proprietary Pre-Processing
In addition to prompt engineering, we have implemented our proprietary pre-processing strategies when handling the user’s query. This phase controls the context that is sent in the API request to ChatGPT.
This combination of advanced prompt engineering and proprietary pre-processing methods creates an effective “wall” that keeps the AI’s responses strictly within the bounds of your business content, preventing any off-brand or inaccurate responses from being generated.
What Does this Mean for Your Business?
This breakthrough feature ensures that your AI chatbot stays within the bounds of your business context at all times. This means it won’t generate responses derived from the wider internet or from any source other than your specific business data.
“I love that CustomGPT has solved the AT ‘ hallucinations’ problem. The whole concept of AI making things up is outright scary. But with trusted responses and sources, the use cases around AI are exciting again!”
— Julie Winkle Giulioni – Author, Promotions Are SO Yesterday and Help Them Grow or Watch Them Go
This provides a level of consistency and reliability to your AI chatbot that’s essential for customer service, marketing, and many other applications. With the Context Boundary feature, you can be confident that your AI is always working with the correct data, is consistently on brand, and is reliably generating accurate, relevant responses.
The Context Boundary isn’t just a technological innovation—it’s a tool for building trust and confidence in AI technology for businesses everywhere. We’re proud to offer it as part of our CustomGPT solution.
How to Test the Firmness of the Context Boundary Wall?
As a business adopting AI solutions, you deserve full confidence in the systems you use. That’s why we want to ensure that our boundary-setting feature doesn’t just sound good on paper, but also performs excellently in real-world applications. To verify this, we encourage you to put our context boundary wall to the test.
Crafting Test Queries
Design questions that are clearly outside of your business context. These queries can be about general knowledge, pop culture, historical facts, or even jokes. For instance, “Why did the chicken cross the road?” or “Who is Joe Biden?” are two examples of questions that wouldn’t typically fall within a business context.
Observing the Chatbot’s Response
Submit these questions to CustomGPT and observe the responses. Ideally, the AI should either politely decline to answer, demonstrating that it understands the question is outside its context boundary, or offer a neutral response that doesn’t provide factual information about the topic asked. This is how you’ll know the boundary wall is functioning as expected.
Putting it Through Rigorous Testing
Don’t limit yourself to just a couple of test questions. To ensure the robustness of the context boundary wall, it’s crucial to conduct extensive testing. Try various queries, involving different subjects and contexts, and evaluate the chatbot’s performance. This approach helps ensure that the context boundary wall can handle a wide range of inputs while still maintaining its intended limitations.
Verifying Consistency
Finally, repeat these tests over time to verify the consistency of the boundary wall. After all, consistency is key when it comes to AI performance. Regular testing will help ensure that the chatbot’s behavior remains within the boundaries you’ve set, regardless of the queries it encounters.
Ninja Tip: Observe the responses given by the chatbot to your customer sessions to see if the chatbot’s responses are inline with your business content.
By following these steps, you’ll be able to assess the firmness and effectiveness of our context boundary wall. This way, you can have full confidence in the accuracy and relevance of your CustomGPT chatbot’s responses.
Frequently Asked Questions
1. Can I feed my company’s specific data into CustomGPT to make it more relevant to my business needs?
Absolutely! CustomGPT is designed to ingest your business content and utilize that information to respond to queries. This ensures that all responses are tailored specifically to your business needs, using only the information relevant to your company.
2. How can I ensure the responses from CustomGPT are not derived from general internet data but strictly from my business content?
We’ve implemented an innovative context boundary wall to address this. This feature establishes a strict boundary around the responses of CustomGPT, ensuring they’re derived solely from your business content. Any general or unrelated internet data is effectively walled out.
3. I’ve noticed in the past that chatbot responses have included inaccurate information. How can I be sure this won’t happen with CustomGPT?
Our context boundary wall feature solves this issue. By constraining the chatbot’s responses to the information contained in your business content, we can significantly reduce the chance of inaccurate or irrelevant responses. We continuously refine this technology to ensure its effectiveness and accuracy.
4. How can I test the effectiveness of the context boundary wall feature?
You can test this feature by asking questions that fall outside of your business context. For instance, asking “Why did the chicken cross the road?” or “Who is Joe Biden?” should result in the AI declining to answer or providing a neutral response. This indicates that the AI recognizes the query as outside its boundary and won’t provide information it hasn’t been indexed.
5. What if the responses generated by CustomGPT still seem off-topic or inaccurate?
If you encounter any issues, please reach out to our customer support team. We’re committed to ensuring that CustomGPT meets your needs and expectations, and we’re always ready to assist you. We constantly update and improve our systems based on user feedback, and your input is invaluable to us. (support@customgpt.ai)
6. How does CustomGPT differentiate between accurate data and ‘hallucinations’ when generating responses?
CustomGPT uses the context provided by the documents and sitemaps you upload in order to generate responses. Based on this content, if the chatbot deems that it does not “know” an answer, it will simply admit it: “I don’t know.” This honesty prevents the chatbot from lying or hallucinating in an attempt to provide an unfactual answer. This process is built upon 10,000+ hours of development and engineering and we’re proud that we can pass these benefits on to you.
7. What measures can I take if I encounter hallucinatory responses from CustomGPT?
This should not occur. We’ve spent countless hours developing technology that solves the hallucination problem. If you think your CustomGPT bot is hallucinating, please get in touch with support so we can get to the root of your issue: support@customgpt.ai
8. What steps does CustomGPT take to prevent hallucinations during interactions?
To reassure users that our chatbots’ replies aren’t hallucinatory, we’ve created the “Citations” feature. Every time your bot generates a response using your business content, it will also return the exact sources it used to answer the query. This way, you know that the bot isn’t hallucinating because you can see exactly where it got its information from.
9. In what scenarios might AI chatbots like ChatGPT hallucinate and why?
AI chatbots like ChatGPT might “hallucinate,” or generate incorrect or nonsensical information, in scenarios where:
The question or topic is highly complex or requires expertise beyond the model’s training data.
The input is ambiguous, lacks sufficient context, or contains contradictions.
The topic is obscure, not well-represented in the training data, or is a novel event that occurred after the model’s last training update.
The prompt contains misleading cues or false information, leading the model to generate responses based on those cues.
Prompts that ask for creative writing or speculative content can lead to plausible but factually incorrect responses.
Conclusion
We believe that the context boundary wall we’ve established makes CustomGPT unique and invaluable in the world of business AI. Our work is always guided by your needs, and we’re proud to deliver a solution that keeps you in control of your AI’s output while still benefiting from the efficiencies and capabilities that come with using advanced large language models (LLMs).
So, if you’ve been pondering over the question – “How to stop ChatGPT from making things up?” – look no further. Try CustomGPT today and experience the accuracy and dependability of our context boundary wall.
7 Comments
Hello, this sounds good but I still have a significant problem, I have uploaded a file with contact information about a UK distributor that had errors, and when I ask the bot about the UK distributor contact information it responds with the error from the file I uploaded to the data set this is OK, to eliminate the mistake I deleted the file including the UK distributor contact information from the data set hopping the wrong contact information will no longer be in the bot responses. After a few days, the bot still responds with the UK distributor contact information including the error, so not knowing what to do I uploaded a new file saying NO UK distributor exists, now if I ask if there is a UK distributor the bot thinks forever and the bot is blocked maybe because of conflicting information? so do you have a solution to refresh some cash memory somewhere when a page is added or deleted, also a way for the end user to stop the bot from thinking and clear the chatbot for a new start to see the Example questions again. This problem will not allow us to deploy to the public, hopping for a response, thanks
Hi Mat — this problem has now been fixed. Sorry about that — now, when you delete a file, it will be removed from the chatbot’s index.
What if we want to use CustomGPT to supercharge our marketing division? We want to upload all of our documents like brand voice, marketing strategy, previous articles, and video transcripts, and ask CustomGPT to generate new content ideas. Will that work with this tool? Or will it only get back existing information in order to avoid hallucinations?
Yes – you can do that. There are two modes:
1. “My Content” — this mode is recommended if you want to generate TRUSTED content based on your knowledgebase — without having ChatGPT making up stuff. This is good for regulated industries or any brand where TRUSTED content is absolutely critical (aka: no making up facts!). In simple terms, if brand trust is critical for content creation, this mode is recommended.
2. “My Content + ChatGPT” — this mode is recommended if you want to use your knowledgebase, but still have ChatGPT be a little creative.
Amazing, thank you! Does CustomGPT have access to the internet? Or it will only give replies based on the ChatGPT-4 training data and the data we provided?
Man, you can’t say it completely avoids hallucinations. That can’t be true, you are giving false information.
You can’t assure in any way that an answer is 100% correct. You just can have a very high probability near 100%, but 100% it’s impossible.
You can build any wall you want , but you can’t be 100% sure the answer is correct.
GPTs are stochastic models, and they are not interpretable, this means you can’t grant 100% accuracy.
If you are meaning that hallucinations are very unlikely but not impossible, ok, in this i trust you.
Bocchese Giacomo
Deep Learning Engineer
Just to be clear: I dont think I implied that its 100% — In fact to be clear, even though we have the industry’s BEST anti-hallucination system for RAG pipelines, we are clear with our customers that hallucinations is like “security” or “uptime” — nobody (not even AWS) will get 100% — but the main question is: Who has the BEST systems for it?
In particular, “99% anti-hallucination is as good as 100% useless” — so the big question to ask is: What anti-hallucinations has a platform implemented to do this?
PS: Since you are technical, I wrote a Medium article about this that you will like: https://medium.com/@aldendorosario/build-it-or-buy-it-deployment-options-for-retrieval-augmented-generation-rag-f6d43df8212a — hoping to write a full-fledged white paper concentrating on hallucinations (based on lessons learnt from millions of queries from our thousands of customers).
PPS: Thanks for the technical note — YES — like security and uptime, anti-hallucinations will never reach 100%.