In this blog post series, a companion to the five part podcast series on Compliance and AI of the same name, I explore how the compliance professional and business executive can think through ChatGPT as a business tool. In this Part 1 of a 5-part blog post series, you learn how to harness the power of ChatGPT while addressing potential pain points in AI implementation, including ethical considerations and achieving a balance between human creativity and AI assistance. My special guest in this is Larry Roberts, founder and CEO of Red Hat Media.
Roberts is a distinctive voice in the IT and AI sphere, he boasts an extensive 25-year corporate career during which he has made significant contributions in training and business intelligence. His strength lies in his data analysis skills, which he honed using predictive analytics early in his career. In 2021, shifted his focus from the corporate sector to content creation and podcasting, which eventually led him to explore the potential of ChatGPT. Roberts’ experience combined with his relentless endeavor to understand and unfold the mystique around data models and large language models sets him apart as a thought leader in the AI domain.
Chat GPT Architecture
Chat GPT is a sophisticated language model that relies on a massive body of text for its training. Behaviour patterns learned allow it to interact conversationally and assist with text-oriented tasks. Its impressive capabilities are derived from extensive linguistic data and customized tuning aligns with specific purposes such as education, creativity, and collaboration. An intriguing aspect worth noting is its reliance on human interaction and feedback. The process of predicting responses by choosing the next logical word in a sequence relies heavily on conversational input from users, leading to improved model accuracy over time. Roberts noted that Chat GPT’s architecture is fascinating, particularly its learning mechanism dependent on human interactions. The extensive training facilitates improved accuracy in recognizing patterns to predict the most plausible next word in a sequence. Roberts emphasis was on the versatility of Chat GPT’s structure being suitable for various purposes like education or creativity, underscoring its invaluable contribution to different fields.
Chat GPT and Education
Embracing an era shaped by artificial intelligence and advanced technologies, developers, enthusiasts and even novices have access to powerful tools like ChatGPT. This tool, emerging from a sophisticated language model, embodies the capacity to turn raw data into an interactive dialogue that can vary in purpose from education to creativity. For those navigating the realm of education, exploring the potential applications of ChatGPT could prove illuminating. Roberts illustrated how this model assimilates knowledge and enhances its capabilities through continuous interaction and feedback. The substantial applications it presents within the educational landscape become apparent when considering its skillset
ChatGPT and Research
Contextualizing the utilization of ChatGPT for academic research, we anchor at the core functionality of this AI model. It is an interactive conversational model that generates text, simulates human-like conversation, or fulfills a task based on the information fed to it. Built on a large language model, it amasses extensive textual data, harnessing vast amounts of information from different sources which become part of its knowledge repository. This endows the model with a significant ability to understand and generate productive responses, forming the backbone of its application in the educational research domain.
The Future of AI Development
Looking ahead, AI technology advancements hint at a future with multimodal capabilities. Anticipated features like being able to upload images and query specific aspects will add another dimension to AI interaction. Discussing the future also means considering the ethical implications of rapidly advancing technology, a key consideration being how it contributes to Artificial General Intelligence (AGI). Roberts touched upon the topic of AI’s future by acknowledging its evolving capabilities. He specifically mentioned GPT-4’s understanding of images as a significant forward stride. However, he urged all to be mindful of the ethical implications involved in AI advancement. His emphasis rested on assessing the benefit-risk ratio, particularly concerning the drive towards AGI.
In this blog, we delved into the various aspects of ChatGPT, examining its strengths and limitations. By gaining a closer look at ChatGPT, we have acquired the knowledge and understanding necessary to harness its potential effectively. Armed with this information, we can now navigate the complexities of AI development with greater confidence and expertise. Join us tomorrow where we consider ethical implications of ChatGPT.
For more information on Larry Roberts, check out Red Hat Media.
