Does your AI evolve over time?
Our prospects often ask, "Does your AI evolve over time?” “Does it automatically learn from every conversation?” "How does it work?"
We thought of decoding this mystery in our latest newsletter.
Imagine AI is made up of two layers. The foundational layer is like your Operating System, Windows 11. And the next one is a finetuned layer, think of this as applications you install like MS Office or Zoom.
Now, you have definitely seen some evolution from Windows 98 to Windows XP to Windows 11. Similarly, we update our AI’s foundational layer frequently, and it keeps improving.
So what about the finetuned layer?
Let’s consider a property management firm using our AI. They get questions like "When can the maintenance team come to fix the issue?" or "There's a leak in my ceiling; I need help"
Here, we have to manually finetune our AI to handle each question for the client. Because each of our customers has different procedures and resources for handling situations like these.
But does it automatically learn from every conversation?
Here’s where things get a bit tricky; let’s imagine if we didn’t train AI to handle electricity-related issues. Our system will point out that we must train our AI to handle it. But we don’t allow it to handle it automatically. It’s a safety mechanism.
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Why?
Giving AI too much freedom would be a bad idea for the following reasons.
Having such a safety mechanism aligns with our values of building AI that’s reliable, accurate and explainable.
Talking about safety, McAfee announced an AI-powered Deepfake Audio Detection tool.
And talking about Audio, Meta released AudioBox to create sound effects, voices and more.
Have you launched your AI-powered customer support yet? If not, get started here.
That's All For This Week
Happy automating ??
Ish from Tars