OpenAI’s new ChatGPT code interpreter is a great example of how Generative AI and Data Science have teamed up to reinvent data strategies.
In this column, I will identify and explain how generative AI and Data Science are a powerful combination. Each of these two fields is monumental in its own way, so they deserve to be given rapt attention as a whole. When you bring these two worlds together, and they form a partnership, it is easy to see the potential for big changes, particularly as both fields reinvent their data strategies.
This is a tangible, real-world product. It’s not abstract or obtuse.
First, I’ll give a brief overview of generative artificial intelligence. You can skim this section if you’re already familiar with generative AI.
Foundations of Generative AI
Generative AI, the newest and most popular form of AI, has captured our collective attention because it is able to produce essays that look like they were written by a human. In short, generative AI uses complex mathematical and computing pattern-matching to mimic human compositions. This is done by data-training the AI on text and other internet content. Click here to read my detailed explanation of how this works.
Source:
https://www.forbes.com/sites/lanceeliot/2023/07/17/generative-ai-and-data-science-have-mightily-paired-up-to-reinvent-data-strategies-exemplified-via-release-of-openais-chatgpt-code-interpreter/?sh=5116590e287e
