Disclaimer: This article was co-authored by human writers and OpenAI’s ChatGPT. At ExperienceIT, we pride ourselves on activating the potential in people and technology. To do this, we strive to use cutting-edge tools like Generative AI optimally, forming industry best practices.
Introduction
Many professionals are looking to Large Language Models (LLMs) as the future of AI in the corporate world.
LLMs are machine-learning powered AI models that are trained to interpret prompts written in plain-language. They then generate outputs in any number of formats, depending on the specific model. ChatGPT’s code interpreter, for example, can transform data, or even write python scripts based on the prompts.
Yet, amidst all the buzz, many are still confused about what exactly LLMs are capable of in business settings. Some simply dismiss LLMs out of hand as nothing more than a fad that will run its course within a year or so. Others make the opposite conjecture and presume AI can outright replace most human employees.
While neither of these extreme positions is likely, we are still left with the question: “What can LLMs do for me and my business?”
Every business will have unique ways that they may leverage these tools. Discovering those uses takes time and experience with the technology.
At the beginning of your AI journey, it can be helpful to have a starting point to begin this exploration. In ExperienceIT’s experience, we’ve found 4 ways that most companies make use of LLMs. By starting with these, you learn the technology and how it might evolve for your organization.
Jumpstarting Projects
Initiating new projects often involves investing significant person-hours upfront to lay the groundwork. While this foundational work is vital, it can also be quite tedious and time-consuming. This leaves employees with limited time to focus on innovation.
This is where LLMs come into play. By automating these tedious tasks, your professionals can hit the ground running. A developer can use LLMs to help write much of the foundational code for their project, so they can work on new features. A content writer can feed an outline to an AI model, then go back in to add more personality.
By offloading these initial stages to LLMs, your team can redirect their efforts towards more creative and value-added tasks. Ultimately, this will reduce project timelines and boost productivity.
Low Code / No Code Applications
Low-code and no-code platforms like Microsoft PowerApps have changed how we help our internal customers. Consider a scenario where HR needs a better way to track and onboard new job applicants. Before, this meant HR would need to coordinate with internal IT teams to find a solution. Lacking necessary context, and with competing projects, the IT solution may be delayed.
Low-code or no-code platforms solve this problem. They allow non-developers to design and deploy applications quickly and easily. From there, they can hand off the work to a development team to flesh the idea out, or use it as is.
Advances in AI, such as GPT’s Code Interpreter, unlock even more possibilities. These tools enable users to develop applications through plain-speech prompts. This accelerates the application development process and opens new opportunities for innovation.
Accelerated Feedback
Feedback is a critical element when delivering exceptional results across various projects. But, obtaining and implementing feedback can often be a lengthy and time-consuming process. Subject matter experts and reviewers may experience delays in providing input. Incorporating their feedback when you get it can take considerable time as well.
LLMs can speed up this process. It can offer suggestions for improvements that you can iterate on. This streamlines the feedback loop.
While humans should still review and approve the final product. AI-driven insights can still save time by enabling faster decision-making and project progression.
Upskilling
One of the lesser-explored aspects of LLMs potential is its ability to enhance learning. The process of acquiring new skills and knowledge, is often called upskilling.
This is a crucial aspect of professional growth in a rapidly evolving world. As new technologies and techniques come on the scene, professionals need to adapt and keep up.
AI can serve as an invaluable ally in these efforts. Professionals can leverage AI-powered resources to adopt these new technologies and techniques. By doing so, they position themselves for success in the ever-changing business landscape.
Conclusion
As LLMs to evolve, its potential in the business realm evolves as well. Tools like ChatGPT and BingAI are toolkits for enhanced productivity, innovation, and growth.
LLMs can help businesses jumpstart crucial projects, laying the groundwork for human innovation. They can also enable non-technical professionals with low-code/no-code development options. Additionally, they ca n. Finally, and most importantly, AI can help upskilling, empowering any workforce.
By focusing on these core AI uses, businesses of all sizes and industries can start their AI journey and reap the benefits.
At EIT, we’re dedicated to helping businesses stay at the forefront of technological advancements like LLMs. Now a division of Globant, we’re more equipped than ever to assist organizations in harnessing the power of LLMs. For more information on how we can help your business leverage LLMs and other AI tools, visit us here.