Automated podcast dialogues (insane!)

Good Morning AI Runners and happy new year!

Here's what we've got for you today:

• Machine learning algorithms, explained.

• Automated podcast dialogues (insane!)

Machine learning algorithms, explained.

We want to go over a few different machine learning algorithms and explain them in simple terms in this newsletter regularly.

Today we’ll talk about (brace yourself for the really long name) : The prefrontal cortex basal ganglia working memory algorithm (PBWM).

Don’t fret, its a pretty easy concept to understand.

We have already established that Machine learning is a way for systems and models to learn to do things without being explicitly programmed to do them. It's kind of like how you learn to do things - you learn from experience and practice. For example, you might learn to ride a bike by practicing over and over again, and eventually you become really good at it.

There are different ways that systems can learn using machine learning, and one of them is called the prefrontal cortex basal ganglia working memory algorithm. This algorithm is named after parts of the brain called the prefrontal cortex and the basal ganglia, which are responsible for things like memory and decision making.

The way this algorithm works is by training the system to learn from data. For example, let's say you want to teach a system to recognize different types of animals. You would give the computer lots of pictures of different animals, and it would learn to recognize them by looking for patterns in the data.

The prefrontal cortex basal ganglia working memory algorithm is used to help systems learn to do things in a more flexible way. It's like giving the system a memory so that it can remember things it has learned in the past and use that knowledge to solve new problems.

There are other machine learning algorithms too, like Proximal Policy Optimization and Q-learning which we’ll cover in the future. These algorithms are all ways that systems can learn and make decisions on their own. It's really cool how systems can learn to do things in a way that is similar to how we learn as humans.

Automated podcast dialogues (insane!)

This was the highlight of my week, I can’t explain how cool this is.

Ok so as you can see in the tweet below, Yacine generated a podcast using ML research papers posted by a famous ML twitter account.

But that is not all.

You NEED to listen to the podcast (at least the first minute or two).

Prepare to be amazed.

We won’t tell you, you have to hear it for yourself here: 

Mind. Blown.

If you want to generate podcasts of the latest research papers on your reading list, Yacine was generous enough to share the scripts here:

Run The AI: PPPs

Pick up (learn):

"How to build your career in AI" by Andrew Ng

Pilot (play):

AI language teacher: talk to someone in a different language. (Still in beta)

Person:

Demis Hassabis, Founder & CEO at DeepMind. Demis is one of the most influential people in the field of AI with a focus on AGI.

Pic of the day:

That's it from RuntheAI for today.

THANK YOU FOR READING AND SEE YOU TOMORROW, SUBSCRIBE TO STAY UPDATED!