A new generation of AI language models with advanced conversational capabilities is creating quite a buzz lately. But precisely what are these AI models? Can you integrate them with your mobile app? Which are the most popular ones? Let’s see
Unless you’ve been living under a rock, you’ve probably noticed how extraordinarily popular AI-powered technologies have become. From simple automated chatbots on e-commerce sites to sophisticated language models that can solve complex mathematical equations or design an entire house in seconds, AI is the belle of the ball of modern technologies. In fact, AI has become so prevalent that now, most businesses are increasingly turning to it to enhance the functionality and user experience of their IT-based products. So, it is no surprise that our beloved mobile apps, which continue to dominate the digital landscape, are turning their heads toward AI-powered technologies, specifically AI-based conversational chatbots.
AI-powered technologies are nothing new. Tools such as natural language processing, image recognition, and machine learning have been around for a while to help companies, users, and app developers gather data, identify preferences, automate processes, and personalize content, to name a few. However, as of late, our screens seem to have been invaded by an influx of more advanced, more versatile platforms that appear to be taking the conversational AI game to the next level. These powerful and highly scalable AI-based conversational chatbots are nothing as we’ve seen before–not at a commercial, everyday-user level anyway–and they seem to be powering countless new applications and unlocking a hidden potential for AI-generated languages. The best part? There are myriad ways that you can integrate these AI models into your mobile apps to help improve their performance, user experience, and user engagement and drive business outcomes.
So, in light of that, we thought it would be interesting to explore the most popular and innovative AI language models you can integrate with your mobile app. So, let’s start, but first, some context.
What are AI-based conversational chatbots?
AI-based conversational chatbots are computer programs or language models that are trained using artificial intelligence techniques, such as machine learning and deep learning algorithms, to predict, analyze, use, and understand human language on their own, without human supervision or guidance. These AI models leverage large datasets of text data to learn how to identify patterns in language so they can seamlessly and independently perform highly complex tasks such as holding entire conversations, performing translations between several languages, carrying out sentiment analysis, generating original text, contextualizing, and much more. As a result, AI-based conversational chatbots and other AI-powered tools have the ability to not only mimic human language. They have the processing capabilities to analyze, understand, and generate it, but they are also capable of understanding the meaning and context of complex phrases and generating natural-sounding responses to the point where, in most cases, we wouldn’t be able to tell it was a machine carrying out the conversation.
So, it’s no wonder these AI language models have started gaining notoriety, especially lately, with companies like OpenAI, Cohere, and AI21 Labs striving to create AI language models and conversational chatbots that are so versatile and advanced that they’re not only becoming the right hand of everyday users but are also powering thousands of applications, hundreds of functionalities within those applications, and opening entire new revenue highways for AI-generated text. In fact, experts predict that, by 2025, 50% of large enterprises worldwide will have deployed AI-based language models and conversational platforms to operationalize the benefits of artificial intelligence. That number was 10% in 2020.
With a wide range of AI-based conversational chatbots and language models available on the market today that you can integrate with mobile apps, choosing the best one for your mobile product can be difficult. So here are Foonkie Monkey’s recommendations.
ChatGPT
The first one on our list is the ferociously popular ChatGPT. The trendy AI-based chatbot, whose name stands for “Chat-based Generative Pre-trained Transformer,” is a large, sophisticated AI language model created by OpenAI. ChatGPT is based on the company’s proprietary GPT-3.5 (GPT-4 coming soon) architecture, which allows it to leverage advanced deep learning algorithms and techniques to understand and respond to natural language queries and engage in complex, human-like conversations more accurately than other AI models. This way, ChatGPT, which was trained using massive amounts of text data, can efficiently mimic human language processing and can perform tasks such as translation, text generation and classification, contextualization, and more.
Depending on your app’s requirements and tech stack, you can easily integrate ChatGPT with your mobile app using the OpenAI API. However, before making your decision, take a look at some of ChatGPT’s pros and cons.
Pros
- ChatGPT is one of the largest AI language models on the market, which means it can generate more complex, customized, and nuanced responses than other AI-based chatbots.
- So far, it has both paid and free options and provides extensive documentation for developers.
- It is available 24/7 and generates personalized responses instantly, making it ideal for applications that need real-time chatbot interactions.
- It is perfect for mobile apps that require automated customer service, voice assistants, chatbots, and other natural language processing capabilities.
- ChatGPT can handle massive volumes of user requests simultaneously, making it an excellent tool for mobile apps from businesses that deal with high volumes of inquiries.
Cons
- ChatGPT bases its responses on the text data it has been trained on, meaning it can provide inaccurate responses on queries about information or context that it is unfamiliar with.
- ChatGPT only produces responses based on information prior to 2021.
- ChatGPT is a very large and complex AI-based conversational chatbot. As such, it requires a lot of computational resources that can cause delays in some servers, making it cumbersome for high-traffic or large-scale applications.
ChatSonic
Known as the “ChatGPT with superpowers,” ChatSonic is an innovative AI-based conversational chatbot built by Writesonic. It is powered by Google Search and was initially designed to assist writers in generating different kinds of high-quality, original content quickly and easily. Now, ChatSonic uses advanced machine learning algorithms, Natural Language Processing (NLP) technology, and a combination of neural networks, deep learning techniques, and data mining to generate high-quality content and understand language patterns, allowing it to respond accurately to users’ queries. In addition, unlike ChatGPT, ChatSonic’s algorithms are continually updated and improved to ensure that it delivers the most up-to-date information, including recent data, ensuring it remains at the forefront of AI-based writing technology.
You can integrate ChatSonic into your mobile app by using WriteSonic’s API, giving your users access to a powerful AI-based conversational chatbot that they can use to generate content, receive accurate answers to their questions, and more from their mobile devices. Here are some of CHatSonic’s pros and cons.
Pros
- ChatSonic integrates with Google Search to deliver highly accurate content and answer users’ questions based on the latest information.
- It is available 24/7 and generates personalized responses instantly, making it ideal for applications that need real-time chatbot interactions.
- ChatSonic can create digital images, answer emails, and even update your users’ social media posts.
- It supports voice commands.
- So far, it is free to use for up to 25 text or image generations per day. It also has affordable paid plans.
Cons
- As with any chatbot-generated content, ChatSonic lacks the human-like touch that some of your users may prefer.
- Like ChatGPT, ChatSonic bases its responses on the text data it has been trained on, meaning it can provide inaccurate responses on queries about information or context that it is unfamiliar with.
Google Bard
Google Bard is Google’s experimental AI-based conversational chatbot. Like most of the chatbots in this article, Bard was designed to compete with ChatGPT. It is powered by the Language Model for Dialogue Applications (LaMDA) and has been trained with data from trillions of words to not only provide responses to queries but also to perform certain additional functions such as planning parties, analyzing movies, and even comparing two different options of any item to help your users choose the best one. So far, Google Bard is at an experimental stage, so we have yet to learn much about what the AI chatbot can accomplish or how much of a competitor it will become for ChatGPT or other AI-based conversational chatbots. What we do know is that, as a Google child, Bard has the potential to become one of the world’s most significant language models by leveraging the search engine’s robust infrastructure and using it to provide high-quality responses and content.
You can integrate Google Bard with your mobile app via its Dialogflow platform, which allows you to build conversational interfaces for your mobile products. Moreover, you can use Dialogflow to integrate Google Bard, or other chatbots, with any messaging platform, such as Facebook Messenger, so your users can seamlessly interact with the AI-based conversational chatbot within your mobile app to help you improve your product’s user engagement and experience. Here are the pros and cons of Google Bard.
Pros
- Google Bard is easy to navigate, intuitive, and highly user-friendly.
- For developers, Bard is one of the best platforms. It readily grants access to extensive documentation, sample codes, and other resources.
- It is highly customizable and allows you to choose the model that best suits your product’s needs.
- Google Bard combines the knowledge it has gathered from data sources with its language model power and creativity to produce highly complex or nuanced responses.
Cons
- Currently, Google Bard is only available to a few people in the United States.
- It cannot handle complex tasks such as coding or image generation.
- Bard is still at a very experimental stage, meaning it has some limitations that still need to be addressed, and some responses may need to be more accurate to be used confidently in your mobile app.
Microsoft Bing AI
Naturally, Microsoft wasn’t about to be left out of the AI-based conversational chatbot game; Microsoft Bing AI is the internet giant’s AI chatbot. Bing AI leverages OpenAI’s GPT-4 language model as well as machine learning algorithms, natural language processing, and other AI-powered techniques and technologies to enhance the capabilities of the Bing search engine and produce relevant and accurate responses. Moreover, Bing AI not only leverages Microsoft’s search engine capabilities but also augments it, functioning separately as a chatbot. This way, users can still use Bing as a search engine and toggle on the chatbot function when needed.
Additionally, Bing AI can power other Microsoft products and services, such as Cortana, the company’s virtual assistant, and Microsoft Edge, its web browser. Although Bing AI still needs some improvements, it is becoming a crucial component of Microsoft’s efforts to stay relevant and competitive during this new wave of AI-based conversational chatbots.
You can integrate Microsoft Bing AI into your mobile app to provide your users with a more refined, accurate, and interactive search experience. You can use to build your custom AI-based chatbots or integrate your product with Bing AI. As a result, your users can efficiently conduct search queries and generate content within your mobile app. Here are Bing AI’s pros and cons.
Pros
- Bing AI can fully understand the intent behind user queries, even when they are poorly phrased or misspelled.
- Bing AI can deliver highly personalized search results based on a user’s search history, location, and other factors.
- Bing AI can be easily integrated with other Microsoft products like Cortana, Edge, and Skype to provide your users with a consistent and seamless experience across multiple platforms, frameworks, and devices.
- By integrating Bing AI into mobile apps, developers can provide users with a more personalized and intuitive search experience powered by AI technologies like natural language processing and machine learning.
Cons
- Bing AI tends to generate responses with some errors.
- Bing AI is currently only available as a limited preview, which may limit how much you can do and its reach and accessibility for some users.
- Currently, other AI-based conversational chatbots, like the others we’ve discussed in this article, are more robust and have a wider reach than Bing AI.
Closing statement
Whether you’re looking for a way to provide better customer service or help your users generate content, AI-based conversational chatbots have revolutionized how developers leverage artificial intelligence and integrate it into mobile products. These chatbots are becoming increasingly sophisticated, allowing us to provide our users with more personalized and efficient solutions. Granted, there are still challenges to overcome, such as integration issues and privacy concerns. Still, as AI technology continues to advance, AI-based conversational chatbots will indeed become an integral part of the user experience for mobile apps in a wide range of industries.
If you have any questions or need an app development partner capable of building your mobile app idea, let’s talk!