Large Language Models (LLMs), like GPT and Bard, are at the forefront of AI research and applications. They’re driving advancements in tasks such as content creation, translation, coding and information retrieval. …

You must be familiar with the terms supervised and unsupervised learning. Somewhere between these two methods, we have something called self-supervised learning, which can solve really interesting problems. To understand self-supervised learning properly, let’s briefly discuss supervised and unsupervised learning first. Supervised learning Let’s say, we have certain data(input) and labels(ground truth).

How cool it would be if we could read the angle of images, just using Neural Nets. It can be used to stabilize the videos in real-time or offline. It can also be used to replace physical sensors used for measuring angles. It sounds fancy, so I decided to pick…

I launched my first app startup 6 months ago at Playstore. It currently has 1000+ organic users. Here are my quick and to-the-point tips for you, which I have learned so far. These tips are going to help people who are planning to launch their first app startup. Note: Following…

Sometimes we need to quickly analyze or validate our structured data. Generally, people tend to use pandas since it seems easy and visually good. The problem with pandas is that it can be super slow if you have large data. We have another alternative which is Linux commands. Linux commands…

Can Neural Net solve a 2x2 Jigsaw Puzzle? — Training a Neural Net on permutation invariant data is difficult. And a jigsaw puzzle is one of those. What is Permutation Invariance? A function is a permutation invariant if its output does not change by changing the ordering of its input. Here is an example below. 1) f(x,y,z) = ax + by +cz 2)…

Know how to apply a function along the various axis in Data. — I am going to explain a really basic but important topic, Axes and Dimensions. Many people find it quite confusing, especially using axis while applying a function on multi-dimensional data. Axis or dimensions is a very generic concept. Whether you are handling data in Numpy, Pandas, TensorFlow, or another library…

For Neural Nets — The Loss Function is one of the important components of Neural Network. Loss is nothing but a prediction error of Neural Net. And the method to calculate the loss is called Loss Function. Loss is used to calculate the gradients for the neural net. And gradients are used to update…

You might get into a situation where you need to label your Images for training. Or you already did. One way of labeling is to manually look at each image and write down its label in a file, which is a painful process. In this blog post, I am going…