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GPT-3 and our AI-Powered Future

Sandra Kublik and Shubham Saboo, authors of GPT-3: Building Innovative NLP Products Using Large Language Models shares insights about what makes GPT-3 unique, the transformative use-cases it has ushered in, the technology powering GPT-3, its risks and limitations, whether scaling models is the path to “Artificial General Intelligence”, and more.

Jul 2022
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Key Takeaways


GPT-3’s API paradigm radically lowers the barrier to entry for interacting with extremely complex machine learning models.


While GPT-3 has incredible transformative use cases that can streamline a variety of complex tasks. It also has potentially dangerous use cases, such as spreading coordinated misinformation.


GPT-3 is making it easier and more natural for the average person to understand what it can do and create different applications and use cases

Key Quotes

As Open AI was scaling their models, more research was released concluding that we should actually be more aware and more careful about how we are using this computing power because of the economic and ecological impact. One research paper that compared the carbon footprint of GPT-3 with that of average cars showed that just the initial training phase was comparable to the lifetime of five passenger cars.

So language models like GP are changing the way perceive the world and opened the imagination of what is possible. For example, models like GPT-3 have the potential to replace the way people find information on internet. I can enable access to customized and concrete information that is aligned with search intent. Consider how people use search engines like Google today. They input a search, they get an overwhelming number of results, and then we have to sift through those results to find what we need. This process can take anywhere from minutes to hours, depending on what is being searched. However, GPT-3 can potentially find the exact information needed in only a matter of seconds, converting what could be hours of research and note-taking into only a few minutes. 

About Sandra Kublik and Shubham Saboo

Photo of Sandra Kublik
Sandra Kublik

Sandra is an author, evangelist, community builder, and active speaker on the subjects of AI, in particular GPT-3, no code, and synthetic media. She runs a YouTube channel, where she interviews ecosystem stakeholders and discusses groundbreaking AI trends. You can check out her book, GPT-3: Building NLP Products with Large Language Models.

Photo of Shubham Saboo
Shubham Saboo

Shubham Saboo has played multiple roles from a data scientist to an AI evangelist at renowned firms across the globe. His work as an AI evangelist has led him to build communities and reach out to a broader audience to foster the exchange of ideas and thoughts in the burgeoning field of artificial intelligence. As part of his passion for learning new things and sharing knowledge with the community, he writes technical blogs on the advancements in AI and its economic implications. He is the co-author of GPT-3: Building Innovative NLP Products Using Large Language Models

Photo of Adel Nehme
Adel Nehme

Adel is a Data Science educator, speaker, and Evangelist at DataCamp where he has released various courses and live training on data analysis, machine learning, and data engineering. He is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.


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