On November 30, 2022, OpenAI, a San Francisco-based AI research and deployment company, introduced ChatGPT as a research preview. Within just five days of its launch, ChatGPT achieved the remarkable feat of attracting 1 million users, as confirmed by OpenAI founder Sam Altman via Twitter. OpenAI’s success and growing value can be attributed in part to its partnership with Microsoft. In 2019, the tech giant invested $1 billion in the company and plans to invest another $10 billion in the near future.
The technology behind ChatGPT is not new and is called Generative AI, but with the success of the chatbot it has gained more attention. Generative AI is a branch of artificial intelligence that generates different types of data such as audio, images, text, code, etc., using existing data as inspiration and generating new results.
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ChatGPT, the latest language model in the GPT-3 series, has set new standards in the field of artificial intelligence. Using only 570 GB of text data from the web, it produced a large-scale comprehensive language model that represents a significant advance in the field. ChatGPT is considered the largest language model ever created, with 175 billion ML parameters.
OpenAI made the GPT-3 API available to the public on November 18, 2021, so every business has had the opportunity to use this technology and integrate this Generative AI model. However, it wasn’t until the launch of the ChatGPT showcase and everyone experimenting within it and their own use cases that the world started to hear about OpenAI’s technology.
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Benefits of integrating ChatGPT technologies with conversational AI platforms or service providers
What does ChatGPT and this Generative AI technology mean for conversational AI platforms or service providers? Is it a new market competitor, a substitute, or maybe a helper? We decided to ask ChatGPT what he thought about it.
To summarize, GPT-3 technology can improve the functionality of conversational AI platforms and provide:
Integrating ChatGPT with a conversational AI platform can significantly improve its accuracy, fluency, versatility, and user experience. To enable all the benefits of ChatGPT for conversational AI platforms, providers must integrate the technology through an API, which is not available as an open source solution, but companies can submit a request through the OpenAI API Waitlist, but the API for GPT-3 : the technology itself is available via link.
According to ChatGPT’s answer, OpenAI’s GPT (Generative Pretrained Transformer) technology, of which ChatGPT is a variant, has been adopted by several conversational AI platforms. Some notable examples include:
- Replica AI:A personal AI companion that learns to communicate with its user.
- HapticA conversational AI platform for customer service and engagement.
- Virtual staffA virtual customer service agent powered by AI.
- BotStar:A conversational AI platform for businesses to build and deploy AI-powered chatbots.
- Botpress:An open source conversational AI platform for building and deploying bots.
These are just a few examples of how the technology behind ChatGPT is being used, and its popularity in the conversational AI market is growing rapidly as more companies realize the benefits it can bring to their platforms.
Intercom:The Irish customer service platform has integrated OpenAI’s GPT-3.5 technology (which was the basis of ChatGPT) into its Inbox and Articles products. Currently, 100 customers are testing the new features in limited beta versions. New features include Composer AI, which helps support agents compose customer responses, Conversation Summarization, which summarizes customer conversations for efficient communication between agents, and Article Generator AI, which generates a full version of an article provided by authors. from the summary. The company plans to make these features more widely available this year.
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Kore.AI:A leading conversational AI platform for optimized customer and employee experiences, has provided a comprehensive answer on how technology is used in conversational AI platforms to compliment the ChatGPT bot. Features such as automatic intent recognition and native and object identification are integrated with models such as Open AI to provide advanced capabilities such as automatic answers to FAQs, improved human-bot interactions and faster dialogue development. In addition, large language models (LLMs) can be used by conversational AI platforms to generate initial prompts, messages, and sample conversations, saving significant time and providing a great starting point for conversation designers to refine responses.
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LivePerson: also adds ChatGPT’s Generative AI model to its customer service bot platform. LivePerson plans to integrate LLMs into its Conversational Cloud platform. Generative AI will also be incorporated into the company’s Conversation Assist feature to keep chatbots up-to-date. In addition, LivePerson will use generative AI in its behind-the-scenes tools to provide businesses with conversation summaries, form completion and customer information updates during and after conversations with chatbots. The data collected will help improve future AI systems.
CognitionThe global leader in conversational AI, went through all the stages of grief and went from rejection to acceptance in a month when they highlighted Showstoppers for pure ChatGPT bot Customer Service in December and then presented a Product Demo in January. Building bots with LLM. Basically, the ideas behind Cognigy’s release are to assess the shortcomings of both conversational AI and ChatGPT and combine the most beneficial aspects of both.
That’s why businesses are looking for ChatGPT alternatives, and here’s a list of the most popular ones.
There are several alternatives to the ChatGPT Generative AI model in the Conversational AI industry that businesses can choose from. Some of the notable ones include:
- Google’s LaMDA (Language Model for Dialogue Applications), a large language model built on a diverse range of Internet texts and capable of providing human-like responses to various types of questions and prompts.
- Facebook Blendera large-scale, multi-task, multi-domain conversational AI model pre-trained on a diverse range of Internet texts.
- IBM Watson Assistanta conversational AI platform that enables businesses to create conversational experiences for customers across any channel or device.
On February 6, 2023, Google introduced ChatGPT competitor Bard, an experimental conversational AI service that runs on LaMDA (Language Model for Dialogue Applications). What makes this technology unique? Its approach is slightly different from OpenAI, as it is built on dialog data and focuses on three key parameters: security, quality, and validity. ChatGpt, however, is based on three models: code-DaVinci-002, text-DaVinci-002 (it was trained by people who checked if the answer was correct), and an additional base model to understand the codes. With a large number of parameters, LaMDA excels at generating responses based on freely available conversational data. It can handle a variety of customer service and marketing automation tasks, and its future looks promising with support from platforms like Amazon.
For now, Google is focused on fine-tuning its solution to provide a secure service, and it has announced that it will start the first real business test in a month, so only then will we have a chance to see the real response from enterprises.
Gleb Dobzhansky, Deputy Director of Engineering in the Master’s Program. “We are already working on adding ChatGPT-like functionality to our customers’ existing bots. So we don’t need to throw away the old flow-based bots and replace them with a new generative AI base. We can extend existing bots with GPT-3-based streams to a custom-tuned GPT-3 model. This model can focus on business-specific knowledge and not try to answer all questions like a generic ChatGPT does.”
As a conversational AI solution provider and LivePerson certified delivery partner, Master of Code has extensive experience integrating conversational AI platforms with third-party systems to collect customer information to deliver a personalized omnichannel experience. An OpenAI solution can be one of the systems integrated into a conversational flow, starting with questions from the customer’s point of view and ending with answers from the conversational AI. And here at Master of Code, we can share our expertise in developing Conversational AI, building conversational solutions, both voice and text, within Conversation Design best practices and ready-to-use systems for integrating new technologies.
While working on each project, we collaborate with stakeholders to assess the feasibility of deploying conversational AI solutions. This includes selecting the appropriate technology and determining the data sources and necessary integrations to ensure the best user experience. Undoubtedly, OpenAI or Google could be one of the technologies in this stack, because at the end of the day, our main goal is to improve efficiency and solve customer problems quickly and accurately.