Meta’s most popular LLM series is Llama. Llama stands for Large Language Model Meta AI. They are open-source models. Llama 3 was trained with fifteen trillion tokens. It has a context window size of ...

A large alligator nicknamed 'Godzilla' was caught on video dragging an enormous Burmese python through the water in the Florida Everglades.

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

In this video, we will look at the details of the RNN Model. We will see the mathematical equations for the RNN model, and ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

Graph Neural Networks (GNNs) have become a powerful tool in order to learn from graph-structured data. Their ability to capture complex relationships and dependencies within graph structures, allows ...

This repository contains an efficient implementation of Kolmogorov-Arnold Network (KAN). The original implementation of KAN is available here. The problem is in the sparsification which is claimed to ...

Network engineers are increasingly adopting Python libraries to automate device management, configuration, and monitoring. Tools like Nornir, Netmiko, and NAPALM are helping professionals streamline ...

Abstract: Deep learning is a powerful technique for data-driven learning in the era of Big Data. However, most deep learning models are deterministic models that ignore the uncertainty of data. Fuzzy ...