- GenAI and LLMs: Emerging tech with vast potential in professional and personal lives.
- New Engagement Approaches: Five additional GenAI uses proposed by Professors Piskorski and Joshi.
- New GPTs: CoachGPT, GroupGPT, BossGPT, AutoGPT, and ImperialGPT offer unique interactive possibilities.
- Implications: These GPTs raise privacy, ethical, and legal concerns but offer opportunities for problem-solving.
- Adoption Strategies: Companies should assess the value and risks of these GPTs, readying themselves for future tech integration.
The emerging world of Generative AI (GenAI) and Large Language Models (LLMs) holds exciting prospects for businesses and individuals alike.
People are exploring and endorsing innovative applications in their professional and personal lives.
A trending term, “prompt engineering,” is in the spotlight with generous salaries on offer. In fact, many educational platforms, such as Udemy, have courses on this topic.
Despite the buzz around the use of human prompts for GenAI, alternative approaches for engagement with GPT technologies are worth considering.
Professors Misiek Piskorski and Amit Joshi from IMD offer an insightful perspective based on their study of GenAI progress and their dialogue with companies aiming to develop versions of these technologies.
Their approach defines GPT interactions based on the involved participants—individuals, groups, or another machine—and who initiates the interaction—human or machine.
They propose five (additional to ChatGPT) unique GenAI uses.
Everyone is familiar with ChatGPT, where a human starts the interaction with the machine.
But let’s look into the potential of other GPTs that Professors Piskorski and Joshi have outlined.
CoachGPT
CoachGPT is like a personal digital assistant that offers daily life management suggestions based on observed activities and environments.
In a professional scenario, it could offer precise action plans to overcome obstacles in trust-building within teams.
Over time, CoachGPT would evolve into a highly personalized AI advisor, coach, or consultant.
Organizations can use CoachGPT to provide real-time product usage advice to customers.
However, privacy concerns should be addressed before allowing the AI to work in the background, monitoring online and offline activities.
GroupGPT
GroupGPT can become a vital part of group discussions, contributing ideas and insights.
It could fact check, summarize conversations, suggest topics, and even propose creative solutions.
Organizations could leverage GroupGPT for managing complex projects involving large, dispersed teams across departments or regions.
BossGPT
BossGPT would actively guide a group without being prompted.
It could potentially coordinate the work of team members to optimize output.
However, the algorithmic complexity for BossGPT would be considerably higher as it needs to anticipate unpredictable individual and group reactions.
Nevertheless, BossGPT can find extensive applications in coordinating work across organizations and managing complex supply chains.
AutoGPT
AutoGPT would involve a human instructing a machine to engage other machines to complete a task.
This GenAI could be utilized in complex tasks such as supply chain coordination and fields like cybersecurity.
ImperialGPT
The most transformational GenAI, ImperialGPT, would involve multiple machines interacting with each other and directing humans.
This concept raises concerns about losing control of AI, but it could be instrumental in generating creative solutions for “unknown unknowns.”
Professors Piskorski and Joshi urge businesses to consider the potential of these GPT technologies beyond the known applications of ChatGPT.
Organizations should assess the value these different GPTs can add to their business and weigh the costs of developing them.
Privacy, ethical, and legal concerns should also be addressed with each type of GPT to prevent legal liabilities and potential harm to humanity.
Depending on the nature and resources of a company, different strategies could be adopted.
A tech-savvy firm or a startup with ample resources could start developing these GPTs, while others with less competitive strength in GenAI might adopt a “wait and see” approach.
Regardless, all companies should be ready to embrace these new GPTs in terms of work processes and culture.
GenAI represents a crucial evolutionary step in AI and could be a defining moment for humanity. However, businesses must strategically invest in adapting the core technology to maximize value creation and monetize the innovations in this potentially lucrative GenAI market.