I'm passionate about bridging the gap between complex AI/ML concepts and simple and clear explanations. I specialise in crafting informative, accessible, and technically accurate content.
Explore MobiLlama, SLM essentially a scaled-down versions of Llama, featuring 0.5 billion parameters, in contrast to LLMs that boast hundreds of billions or even trillions of parameters.
Explore YOLOv9, known for the novel architecture GELAN and Reversible Network Architecture to address the unreliable gradient issue in Deep Neural Network.
In this article, we'll explore how a CNN views and comprehends images without diving into the mathematical intricacies.
In this era of LLMs we have a new model, highly efficient and optimized. This article can be used as a guide to fine-tune Mistral-7B by utilizing powerful GPU such as A6000.
In this article we will understand the role of CUDA, and how GPU and CPU play distinct roles, to enhance performance and efficiency.
In this article we will explore TinyLlama along with a gradio demo where we will bring the model to life.
In this tutorial, we look at Baidu's RT-DETR object detection framework, and show how to implement it in a Paperspace Notebook.
In this article we will explore a cutting-edge object detection model,YOLO-NAS which has marked a huge advancement in YOLO series.
In this tutorial, we show how to get started with LangChain: a useful package for streamlining your Large Language Model pipelines.
