AI — your daily companion

For many people the first thing that comes to their mind when I say AI is probably terms such as Wall.e, Terminator, Chappie or may be everyone’s hot favourite JARVIS. Although it is true that all of them AI, but our human civilisation is decades away from achieving any such milestones. Now people many a times would ask me why is that? The answer to that is very simple.

What we have today is synthetic intelligence which is capable of performing some of the mundane tasks exceptionally well, even better than humans for that fact…


Artificial Intelligence with Human Ethics.

The closer we get to understanding human brain, not only do we create advanced technologies or evolved intelligence systems, but we also expose ourselves to the beautiful flaws introduced into the system by laws of nature.

Now this might sound a bit philosophical topic to discuss about. But in reality the rate at which AI is developing it is very essential to understand the implications of the technology over the society.

To better understand the importance of “Ethical component” in the field of AI, throughout the article we will be drawing parallels between the functionality…


How far is Science-Fiction from Reality?

A question humanity has been asking itself for centuries. Fiction as a matter of fact is mere imagination whereas innovation is any imagination that could be produced using technology. So now the million-dollar question —

Can we replicate Human Intelligence?

Well, the answer to that question is not a simple yes or a no. That’s right it’s not impossible for technology to stretch out as far as being able to perform complex tasks as well as humans, but that’s something we all are aware of, what’s the more astonishing story is that we can…


Ingredients of your AI Recipe …

There are hundreds of articles floating around on the internet talking about which framework to use, what kind of data to choose, which architectures to pick and so on and so forth, But what isn’t there is Prequel and Sequel to that story.

Few of the most compelling questions when one takes up a challenge is —
What kind of AI model can solve such a problem?
Where do i get the data from?
How can i make it available to the user?
Whether any such solutions exist in the market? …


Make your live easier with AI as your companion

We all know in the past decade humanity has taken leaps into the future in terms of the technological advancements that we have achieved and at the top of it is the fans favourite — Artificial Intelligence.

In today’s world where everyone is on a race to leverage AI based solutions to create highly accurate, flexible and optimised solutions, one also needs to consider whether the problem requires an AI solution. …


Understand what suits your AI needs best Cloud or Open Source.

In the past few years Artificial Intelligence has a come long way from being just a niche to being accessible to everyone across the globe. In today’s world training and deploying neural models has become as easy as applying butter over bread.

Thanks to the researchers and developers across the globe for their extensive efforts over the past few years for putting Artificial Intelligence at a stone’s throws distance. The number of frameworks, cloud native services, open source projects or custom models which are available in today’s market are…


Introduction

One of the biggest challenges that deep learning faces today is the addition of newer labels to the neural models without altering the architecture or storing previous datasets. The issues generally revolve around the fact that storing data over time causes the system memory to bloat up and also significantly increases the training time. As for the neural architecture it pretty much is defined at the first stage of training or we can call it Model Zero, and using the previous learnings while adding new labels is practically impossible.

The usual solution we resort to is transfer learning that helps…


Welcome to 3 Part Tutorial for end to end MLOps, starting from training, tracking, deploying, inferencing.

Part 1: Setup MLflow on AWS EC2

Part 2: MLOps deployment on AWS Fargate: I

Part 3: MLOps deployment on AWS Fargate: II

Getting on with Part 3…

You can find the Github Repository for all the used code here!

In the previous part we had set up all the necessary infrastructure needed for deploying the model into cloud environment. …


Welcome to 3 Part Tutorial for end to end MLOps, starting from training, tracking, deploying, inferencing.

Part 1: Setup MLflow on AWS EC2

Part 2: MLOps deployment on AWS Fargate: I

Part 3: MLOps deployment on AWS Fargate: II

Getting on with Part 2…

You can find the Github Repository for all the used code here!

There are a lot of Machine Learning engineers around the globe who are excellent at their job of developing State of the art models for their use cases. …


Welcome to 3 Part Tutorial for end to end MLOps, starting from training, tracking, deploying, inferencing.

Part 1: Setup MLflow on AWS EC2

Part 2: MLOps deployment on AWS Fargate: I

Part 3: MLOps deployment on AWS Fargate: II

Getting on with Part 1…

You can find the Github Repository for all the used code here!

Tracking of metrics of the heavy duty training performed by neural networks after extensive development by engineers is of utmost importance. Here we would be using a framework called MLflow for tracking all our trainings. …

Vaibhav Satpathy

Deep learning and Back end Engineer

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