What’s up with AI?
The whole world is suddenly talking about Artificial Intelligence (AI). What’s causing all the commotion all of a sudden?
AI is writing college essays, painting masterpieces, creating original music, marketing, monitoring social media, managing healthcare, doing financial investing, driving cars, manufacturing robots, and the list only continues to grow! To be sure, from Alexa to Siri, AI has already been all around us, but there are now new names that are coming to the forefront of public conversation, names like ChatGPT, Dall-E, and Jasper, blowing up the internet with a whole lot of buzz.
That’s because these new AI concepts and designs take things a whole lot further than simple Alexa or Siri.
AI is meant to make our daily lives easier and experts believe that these new AI tools are going to become the foundational building blocks of a whole new world of technology, redefining the way we interact with computers and machines.
Remember the early days of PCs? There was a flurry of “geek-speak” that was all new, but now is commonplace in everyday life.
But to be in the know, you have to know how to talk about what is in the know, so you know that you know that you’re in the know!
To that end, in this post we will define a few terms to help you navigate your way through the sea of terms associated with AI, so you can decode your way through it all.
Terms to Know Today
Chatbot
Starting with the basics, a chatbot is an app that mimics human-to-human contact. It will respond to you in text or voice the same way a human would, just like talking with Alexa or typing with Siri. ChatGPT is a chatbot. If you’d like to try it out, you can here.
Deep Learning
This is a technique that’s used to imitate the human brain by learning from data. Current search tools and systems use pre-programmed algorithms to respond to requests. AI tools are trained on concepts and conversations in the real-world, and learn as they go to provide human-like responses.
Machine Intelligence
The umbrella term for machine learning, deep learning, and conventional algorithms is “machine intelligence.” The real question we have to ask today is, “Will machine intelligence surpass human ingenuity?” It just got real.
Natural Language Understanding (NLU)
NLU helps machines understand the meaning of what we say, even if we make grammatical errors or speak with different regional accents.
Weak AI
This is the most common form of AI in use right now. It is non-sentient and typically focuses on a single or small range of activities, like writing or repurposing content.
Strong AI
This is not so common and is still being developed, if even possible. It has the goal of producing systems that are as intelligent and skilled as the human mind. Just not yet, though.
Tip of the Iceberg
All this is just the tip of the iceberg, but know this: you’re going to be hearing a lot more about AI in the months and years to come. This is not the end!
If you’d like more help in understanding how AI might help our your business, feel free to reach out!