At the beginning of December, the news sensation of the month was ChatGPT, and it continues to be, a Super AI chatbot model that was used by 1 million people in just 1 week and reached 100 million users in January’23. This created a buzz in the AI chatbot industry, with some people claiming it was a revolution. But how can businesses benefit from such giant AI chatbot models if at all? To help sort out the facts from fiction, we decided to write a blog post highlighting the differences between Super AI chatbot models and business AI chatbots.
We decided to explore what these Super AI chatbot models are, how they can be used, and how they differ from business AI chatbots. We even asked ChatGPT to give us its opinion on the matter! Here’s what it had to say about the story of giant AI chatbot models and everyday on-duty reliable digital assistants, business AI chatbots.
If you want to know how business AI chatbot differs from ChatGPT right away, here is the summarized answer in two paragraphs (if you want to learn everything in detail, keep reading till the end):
The difference between the two chatbot models is that the super AI chatbot models are in the research and development phase, far from perfect and not yet reliable enough for businesses. They are designed to predict the next word for a given input and generate an answer, but not necessarily the correct one. These models are designed to predict the next word from an input and generate an answer, but not necessarily a correct one. However, they are very good at producing text and chatting in a freestyle about general topics. This makes them ideal for creating drafts for posts, ads, articles, and other written material that then for sure needs to be reviewed and finalized by the business team because the information they provide is updated till 2021.
On the other hand, business AI chatbots are ready for usage in the business world and are built and trained with a focus on the specific needs of a company and its customers, partners, and employees. These chatbots are developed and managed by the business team and have complete control over the content, the responses, the images, the marketing and sales funnels, and all chatbot elements and logic. Moreover, these chatbots can be integrated with other business platforms in order to automate daily tasks and provide 24/7 customer service and support, increase sales, and improve marketing. Additionally, these chatbots can be used to collect customers’ first- and zero-party data for the business to analyze and make more informed decisions.
The three titans of the chatbot world – LaMDa, BB3, and GPT3 with its ChatGPT
The big three have made a splash in the media, but while they are advanced and clever, they don’t know the answer to basic questions like who the President of the United States is. While it’s true that you can have conversations with these AI chatbot models on a variety of topics, it’s important to understand what they are and the trends surrounding them before trusting them on 100% – you cannot do this and we will tell you why in the next paragraphs.
Let’s share in detail some valuable information about the three titans – the Super AI chatbot models or the so-called the big ones:
Google’s LaMDA
In May 2021, Google announced LaMDA, an AI chatbot model that can converse on a wide range of topics. LaMDA stands for “Language Model for Dialogue Applications” and has been in development for years. To train LaMDA, Google used billions of records of documents, dialogs, and utterances, with 137 billion parameters, 2.81 trillion sentences, and 1.56 trillion words – 40 times more than previous similar models. Additionally, LaMDA also draws from external sources of information. This allows the model to read a sentence or paragraph, understand how the words relate to each other, and then predict what words come next with logic and specificity. Furthermore, LaMDA has been developed with criteria for appropriate responses, such as unexpected, useful, or funny answers, as well as measures to address discrimination and other non-ethical scenarios.
At its official presentation, LaMDA demonstrated its ability to provide conversational responses that make clear sense and are highly relevant to the context of the conversation. When asked to act as the planet Pluto, LaMDA responded with an emotionally charged answer: “I am not just a rock, but a beautiful planet.” LaMDA’s ability to respond with pertinent and meaningful responses is a testament to its advanced AI capabilities.
Meta’s BB3
Blender Bot 3 is a US-only research project for fun and experiments which is a prototype demo of a conversational AI. Meta warned that answers from BB3 could be wrong, rude, or unreliable when it comes to facts. It was the first public bot and one of the largest chatbot models. BB3 is designed to make chatbots feel and sound in a more human-like way, by improving the quality and dialogic safety of conversational AI. It searches for answers live online, along with its database and chat histories, containing 175 billion parameters and being 31% better in a conversational environment than other models, with 58 times more parameters and making 47% fewer mistakes than its previous versions. The conversations it produces are longer and wider, resulting in only 2.5% errors, such as: 1% of answers get off-topic, 0.11% are not appropriate answers and 1.36% are answers with not actual sense.
Despite this, BB3 still has the goal of providing convincing answers to the topics discussed, but it is not on 100% reliable instrument when it comes to answering relevant questions according to the business needs.
Some more facts about other super chatbot models:
In 2016, Microsoft launched Tay (an AI chatbot on Twitter) only to have to shut it down after 16 hours due to offensive comments such as “Hitler did nothing wrong!” and others that the chatbot had learned from its users.
Contrastingly, Microsoft’s Xiaoice chatbot has been a great success. Since its launch in 2014 in China, it has interacted with 660 million online users, been featured on 1 billion devices, and had 900 million content viewers – all without any major missteps. Additionally, Xiaoice has written poems, released songs and hosted many TV and radio programs.
OpenAI’s ChatGPT – the top of the ice cream
ChatGPT has caused a stir among users, as it achieved 1 million users within its first week, whereas GPT-3 and DALL-E only reached such a rate after 24 months and 2 months respectively. GPT-4 is also now released, and we would familiarize ourselves with its capabilities and how reliable the language model is. This extra media attention is anticipated to accelerate the adoption of business AI chatbots in 2023. Despite the many differences between ChatGPT and business AI chatbots, users were amazed by ChatGPT’s capabilities, such as coding, drafting posts, writing essays and producing bullet points for reports. ChatGPT is powered by GPT-3.5, OpenAI’s upgraded version of the GPT-3 language model released in 2022. OpenAI claims that ChatGPT can answer follow-up questions, identify mistakes, recognize false assumptions and reject improper requests. Sam Altman, CEO of OpenAI, has stated that the current ChatGPT model is not flawless, but is good enough to create a convincing illusion of accuracy. He warned not to rely on it for anything at this stage, as further development is needed for it to become more trustworthy. In other words, ChatGPT is so convincing that you may not be aware of any mistakes it makes unless you already know the right answer!
So why is this powerful chatbot available for use? The answer is simple – a team of engineers cannot replicate the work of a large number of people when it comes to learning and feedback, which is necessary to make these models even better. As such, users are warned before engaging with ChatGPT on its website that the model is still in development:
It is difficult to say which of the three big AI chatbot modes is better, as all have their own advantages and disadvantages. However, it is important to remember that all are still in development and may not be entirely reliable. When it comes to helping businesses make more sales, improve customer service and create a better user experience – the titans simply cannot deliver on these promises.
Which One – A Business AI chatbot or a Super Chatbot Model?
Although the name of a super AI chatbot model’ implies an advanced level of functionality, it still remains in its development stages and cannot be relied upon to provide accurate information. This makes it unsuitable for businesses that require providing precise answers to customers, partners, and employees.
In contrast, business AI chatbots are designed to perform specific tasks within a controlled environment, such as responding to customer queries and providing them with other business-related content, forms to fill out, conversation flows, integrations with other business platforms, and so on. They are tailored to meet the needs of businesses, their customers, partners, and employees. On the other hand, super chatbot models cannot control what information they will give to their users.
Business AI chatbots and super chatbot models differ in the amount of data they use. Business AI chatbots are typically created and trained to respond to customer queries using a predetermined set of topics and answers, provided by the business itself. This means their database is much smaller and tailored to the needs of the company and its customers, partners, and employees.
Super chatbot models, however, are equipped with large databases and the ability to search online for answers, but the conversation flow is unpredictable, and the answers provided may not always be accurate or relevant, especially for events after 2021.
Overall, it is important to be aware that when using super chatbot models, the conversation could go in any direction, so it is important to use caution. Here is another warning from the ChatGPT webpage:
The key advantage of AI chatbots for businesses is that they can provide customers with more than just answers to their inquiries. With the right training and testing, they can guide and redirect customers to take action – such as signing up for a newsletter, downloading an e-book, whitepaper, or how-to materials, or purchasing a product or service. AI chatbots for businesses can direct customers to additional information and help them move further down the marketing and sales funnels to close the sale or make a conversion. Additionally, businesses have the full ability to control the conversation even with small talk.
We had a discussion with ChatGPT about business AI chatbots, and the risks, and opportunities they present. We sought its opinion and the response affirmed our beliefs.
ChatGPT shared its insight on the distinctions between it and a business AI chatbot:
- ChatGPT is a specific type of machine learning model that has been trained to generate text in a chatbot-like manner… while a business AI chatbot is a chatbot specifically designed to assist businesses in interacting with their customers.
Then we asked ChatGPT what the risks are of using it – ChatGPT, in a business AI chatbot as a chatbot backend (to power its conversational AI module), and it answered:
1. Quality of responses: ChatGPT may generate response that are not accurate, relevant or appropriate for the context. This can lead to frustration or confusion for users and may damage the reputation of the business.
2. Bias in the training data: ChatGPT is trained on a large dataset of human conversations, which may contain biases that are reflected in the responses generated by the model. This can lead to chatbots that produce responses that are biased or discriminatory, which can be damaging for the business.
3. Lack of context: ChatGPT generates responses based on the input it receives, but it does not have access to other contextual information that may be relevant to the conversation. This can lead to responses that are not fully informed or appropriate for the context.
4. Dependence on a large amount of data: ChatGPT is a large language model that requires a significant amount of data to operate effectively. This can be a challenge for businesses that do not have access to large datasets or the resources to train and maintain their own language model.
5. Privacy concerns: ChatGPT is trained on a large dataset of human conversations, which may include sensitive or personal information. Using ChatGPT in a chatbot may raise concerns about the privacy and security of user data.
So, we asked what the business can use ChatGPT for, and it confessed:
- ChatGPT can be used as a generative language model to generate text in a variety styles and formats. It can be useful for tasks such as language translation, text classification, summarization, or text generation for content creation.
We have also asked ChatGPT to write an article on why businesses shall use AI chatbots and here are the answers we received. Despite that these super chatbots could give nonrelevant information, this time it was very accurate. The following paragraphs were written by ChatGPT:
“Artificial intelligence (AI) chatbots are increasingly being used by businesses to interact with their customers and improve the customer experience. Here are a few reasons why businesses should consider using (business) AI chatbots:
Improved customer service: AI chatbots can provide quick and accurate responses to customer queries and requests, which can improve the overall customer experience. By automating routine tasks, chatbots can free up human customer service staff to focus on more complex issues.
Increased efficiency: AI chatbots can handle a large volume of queries and requests simultaneously, which can help to increase the efficiency of a business’s customer service operations. Chatbots can also work 24/7, providing customers with access to support around the clock.
Cost savings: AI chatbots can help to reduce the cost of customer service operations by automating routine tasks and handling a large volume of queries and requests. This can lead to cost savings for the business, which can be reinvested into other areas of the business.
Personalization: AI chatbots can use customer data to provide personalized responses and recommendations, which can help to build customer loyalty and improve the overall customer experience.
Improved data collection and analysis: AI chatbots can collect data on customer interactions and preferences, which can provide valuable insights for businesses. This data can be analyzed and used to improve products and services, optimize marketing campaigns, and identify areas for improvement within the business.
AI chatbots can be a valuable asset for businesses seeking to enhance customer experience, optimize efficiency, reduce costs, and gain valuable insights into their customers. By leveraging the power of AI, businesses can offer more personalized and streamlined customer service, which can lead to increased customer loyalty and better financial results. Utilizing business AI chatbots can be a cost-effective solution, allowing for greater control over customer service, sales, and marketing, ultimately helping to improve the bottom line. If you are looking for a win-win solution with full control over your customer service, sales, and marketing capabilities, a business AI chatbot is certainly for you.
The implementation of AI chatbots must take into account the rules and regulations for AI use that have been put in place recently worldwide, such as those from the European Parliament and Council. In particular, businesses must be aware of the heightened requirements for “high-risk systems” which generate conclusions or decisions and process personal data, such as biometrics. Furthermore, AI chatbots must demonstrate a level of transparency, in that they must make it known that the users talking with a chatbot before beginning the conversation. It is essential for companies to observe the best practices when launching their chatbot projects and continue to do so in order to achieve success.
Let’s see how ChatGPT proposed to finish this article:
Are you looking to streamline your business operations and increase efficiency? Look no further than to an AI chatbot platform!
The chatbots are available 24/7, which means that up to 45% of your users can take advantage of the convenience of chatting at night if you had an AI chatbot. And with 75% of chatbot users returning time and time again, it’s clear that your chatbot would provide a valuable service.
With your own business AI chatbot, you can easily automate & handle customer inquiries, create sales & marketing funnels, and complete a variety of tasks without the need for human intervention. This not only saves your business time and money, but it also allows you to provide faster and more efficient service to your customers.
Don’t just take our word for it – try out an AI chatbot platform for yourself and see the difference an AI chatbot can make for your business. We’re confident that you’ll be just as satisfied as the hundreds of thousands of users that have already benefited from the business chatbots.
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And because conversational AI does many things extremely well, this article was written by the AI Chatbot Institute team in collaboration with ChatGPT and translated into Bulgarian by an AI translator (with minimal human corrections). Some of the images are also generated by AI (DALL-E).