Our collection of expert insights

Supervised Learning is like having a teacher guide you through learning a new subject. Imagine you’re learning to identify different types of fruit. Your teacher shows you lots of pictures of apples and oranges, pointing out the unique features of each fruit. Over time, with practice and guidance, you start to recognize which fruit is

Variational Autoencoders .VAEs, are like a very clever artist who can draw almost anything. Imagine you have a magical artist who can create beautiful pictures from simple sketches. You start by giving this artist a basic outline of what you want, and then they fill in the details to create a detailed and unique image.

NETtalk is like teaching a computer to read and speak out loud, similar to how you might learn to read a book and then read it aloud to someone. Imagine you’re learning to read a book for the first time. You start by recognizing letters and then gradually learn how to blend them into words

RLHF, or Reinforcement Learning with Human Feedback, is like teaching a dog new tricks with a mix of training and guidance. Imagine you want to teach your dog to fetch a ball. At first, the dog might not know what you want, but with some guidance and rewards for good behavior, the dog starts to

Abstraction is like organizing a messy drawer. Imagine you have a drawer full of different items like pens, paper clips, batteries, and sticky notes. It’s overwhelming to look at all these items individually, so you decide to group similar things together. You put all the pens in one container, the paper clips in another, and

A Vision Processing Unit, or VPU, is like having a super-specialized assistant who is really good at understanding and analyzing visual information, just like how a skilled photographer can instantly recognize and capture the perfect moment in a scene. Think about how you recognize different objects around you. Your brain quickly processes what you see—whether

Type System is like sorting different kinds of items into separate bins. Imagine you have a collection of various objects—some are toys, some are books, and some are clothes. To keep everything organized, you put each type of item into its own bin. This way, when you need a specific item, you know exactly where

Imagine you’re having a conversation with someone, and you can’t see them. You’re not sure if they’re a person or a robot pretending to be one. If you can’t tell the difference based on how they talk and respond, then the robot has passed the test. The Turing Test is a bit like that. It’s

Recurrent Neural Networks (RNNs) are like having a notebook where you write down information and keep referring back to it as you write new notes. Imagine you’re working on a story and you need to remember what happened earlier in the plot to make sense of what happens next. Think of an RNN as a

Python is like learning to play a new musical instrument. When you start, you might find the instrument a bit tricky, but once you get the hang of it, you can play beautiful music and even create your own songs. Python is a programming language, which means it’s a set of instructions that a computer

Weak AI is like having a very skilled helper who is great at specific tasks but doesn’t understand anything beyond those tasks. Imagine you have a smart robot that can help you with cooking. It can follow recipes perfectly, chop vegetables, and even set timers. However, if you ask it to help with something outside