AI ONE ON ONE: How to Use ChatGPT for Business?

AI ONE ON ONE: How to Use ChatGPT for Business?

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Aleksandra Przegalinska and Tamilla Triantoro started a blog “AI One on One” to discuss the advantages and limitations of current AI systems and explore the possibilities of using AI for good.

AI One on One Episode 6. How to Use ChatGPT for Business?

The beginning of 2023 certainly belongs to ChatGPT. Both ChatGPT and its parent model GPT-3 have garnered significant attention in both the AI research community and the technology industry. These technologies are considered to be the largest and most advanced language models developed to date, and their advanced language capabilities have been demonstrated in a variety of tasks and applications, such as question-answering, text generation, and conversation simulation. This has led to a high level of interest and investment in the models, and many companies and organizations are exploring ways to integrate them into their products and services. Currently, OpenAI, the creator of ChatGPT, uses a freemium model, where one version of the chat is free and the other, ChatGPTPlus,? is subscription-based. Yet another option is the one where B2B customers pay for access to the language model's API to integrate it into their own applications or services, like CopySmith AI. Open AI? also offers research grants for academic and non-profit organizations to use their models for study and experimentation. Moreover, it plans to refine and expand this offering based on users’ feedback. Recently, the company announced? the launch of ChatGPT API (ChatGPT API waitlist), and is exploring options for lower-cost plans, etc.

In this episode, we would like to explore business use cases for ChatGPT. As the recent headlines suggest a strong interest for generative AI for companies, and ChatGPT in particular for Microsoft, we want to explore how Microsoft can use ChatGPT. Microsoft has already incorporated ChatGPT in some of its products such as Microsoft Teams to offer advanced virtual meeting capabilities. ChatGPT uses machine learning to generate human-like responses to natural language inputs (prompts). When a user inputs a prompt, ChatGPT processes the prompt and generates a response based on the probability distribution of words and phrases in the training data that are relevant to the prompt. The model uses a combination of deep learning techniques, including attention mechanisms and transformer architecture, to generate a response. We are interested to find out how Microsoft is going to use ChatGPT, and we will do it via a series of differently designed prompts.

Prompt: How is Microsoft going to use ChatGPT?

Microsoft has integrated OpenAI's GPT-3 language model, which includes ChatGPT, into its Azure platform, allowing developers to build conversational AI applications and services for various industries, such as customer service, education, and healthcare. Microsoft plans to leverage the advanced language capabilities of GPT-3 to enhance its existing offerings and create new ones, such as virtual assistants, chatbots, and text-to-speech systems.

Prompt: Explain to a five year old how Microsoft is going to use ChatGPT

Okay, let's pretend you have a big box of toys and you want to find a specific toy to play with. But, you have so many toys that it's hard for you to find the one you want. That's kind of like what Microsoft is doing with ChatGPT. Microsoft wants to help people find the information they need quickly and easily, just like you want to find your toy quickly and easily. So, they're using a computer program called ChatGPT to help people find what they're looking for.

Prompt: Explain to a college student how Microsoft is going to use ChatGPT

Microsoft is planning to use ChatGPT, an AI language model developed by OpenAI, to enhance various internal and customer-facing tasks. ChatGPT is trained on a large corpus of text data and can generate human-like responses to natural language inputs, making it a valuable tool for automating repetitive tasks and improving response times.

Prompt: Explain to a PhD candidate in Computer Science how Microsoft is going to use ChatGPT

ChatGPT consists of multiple layers of attention mechanisms and feed-forward networks, allowing it to learn complex relationships between the input and output. The training process for ChatGPT involves feeding the model a large corpus of text data and optimizing its parameters through backpropagation to minimize the loss between its generated responses and the ground truth. Once trained, ChatGPT can be fine-tuned on specific tasks and domains to further improve its performance. In terms of its potential use by Microsoft, ChatGPT can be integrated into various internal and customer-facing operations to automate repetitive tasks and improve response times.. Additionally, ChatGPT can be used for applications such as content generation, sentiment analysis, and language translation to gain valuable insights into customer behavior and market trends.

Prompt: Explain to the Microsoft board of directors how Microsoft is going to use ChatGPT

Microsoft is planning to use ChatGPT as a tool to enhance efficiency and support in various internal and customer-facing tasks. ChatGPT can automate repetitive tasks and provide instant and accurate responses to inquiries, reducing workload for teams and improving response times. Additionally, ChatGPT can also be used for applications such as content generation, sentiment analysis, and language translation, which can help Microsoft to gain insights into customer behavior and market trends. By integrating ChatGPT into its operations, Microsoft is demonstrating its commitment to leveraging AI technology for business purposes. This can help to position the company as a leader in the field and attract customers who value innovation.

Prompt: Explain to Microsoft competitors how Microsoft is going to use ChatGPT?

It is not appropriate for me to explain the competitive advantages of one company to its competitors. Providing information that could give an advantage to one company over another is unethical and goes against the principles of fair competition. Additionally, it is important to maintain the confidentiality of a company's strategies and plans.

Prompt: What will happen to ChatGPT in 2023?

It is difficult to predict exactly what will happen to ChatGPT in 2023 as it is dependent on various factors such as advancements in AI technology, market trends, and business decisions by OpenAI. However, it is likely that ChatGPT and other language models will continue to play an increasingly important role in the development of conversational AI applications and services, as well as in fields such as natural language processing, machine translation, and text generation. OpenAI may also make further improvements to the model, such as increasing its training data, fine-tuning for specific industries, or expanding its language support.

In this episode, we explored how different prompts generate different responses. This can be very useful when you use ChatGPT to create content for specific audiences. We also learned that ChatGPT is trained to provide ethical answers based on its willingness to maintain the confidentiality of a company's strategies and plans. We also asked ChatGPT how it predicts its own future and ChatGPT sees that it would play an increasingly important role. Overall, ChatGPT is a powerful tool that has the potential to revolutionize the way we interact with technology and with each other. It is expected to be widely adopted and used in a variety of ways in the near future. We can only hope that ethical standards will keep up with its development.?

About the authors:

Aleksandra Przegalinska - Associate Professor and Vice-President of Kozminski University, responsible for International Relations and ESR as well as Senior Research Associate at the Harvard Labour and Worklife Program.? Aleksandra is the head of the Human-Machine Interaction Research Center at Kozminski University, and the Leader of the AI in Management Program. Until recently, she conducted post-doctoral research at the Center for Collective Intelligence at the Massachusetts Institute of Technology in Boston. She graduated from The New School for Social Research in New York. She is the co-author of Collaborative Society (The MIT Press), published together with Dariusz Jemielniak.

Tamilla Triantoro - Associate Professor at Quinnipiac University and the leader of Masters in Business Analytics program. Tamilla is an author, speaker, and researcher in the fields of artificial intelligence, data analytics, user experience with technology, and the future of work. She received her PhD from the City University of New York where she researched online user behavior. Tamilla presents her research around the world, attempting to explain the complexity of today's digital world and to make it understandable and relevant.