Self-supervised Learning

Understanding Different Types of LLMs: Distilled, Quantized, and More – A Training Guide

Editor4 weeks ago4 weeks ago034 mins

Large Language Models (LLMs) come in various optimized forms, each designed for specific use cases, efficiency, and performance. In this guide, we’ll explore the different types of LLMs (like distilled, quantized, sparse, and MoE models) and how they are trained. In the fast-evolving world of Large Language Models (LLMs), different model types serve different performance and deployment goals…

Let’s break down AI, Machine Learning (ML), and Neural Networks in a structured way

Editor3 years ago6 months ago014 mins

Let’s break down AI, Machine Learning (ML), and Neural Networks in a structured way, covering key concepts, types of ML, and model architectures like Transformers, and their applications.

Complete Breakdown of Machine Learning (ML)

Editor3 years ago6 months ago012 mins

Machine Learning

is a vast and intricate field that requires an understanding of key concepts from mathematics, statistics, programming, and data science. Let’s go through everything step-by-step, from the fundamental maths to the essential skills required to build ML models.