Natural Language Processing

Retrieval-Augmented Generation (RAG) enhances LLM text generation using external knowledge

Editor4 weeks ago4 weeks ago08 mins

Retrieval-Augmented Generation (RAG) enhances LLM text generation by incorporating external knowledge sources, making responses more accurate, relevant, and up-to-date. RAG combines an information retrieval component with a text generation model, allowing the LLM to access and process information from external databases before generating text. This approach addresses challenges like domain knowledge gaps, factuality issues, and hallucinations often…

Understanding Transformers: The Mathematical Foundations of Large Language Models

Editor4 weeks ago4 weeks ago010 mins

In recent years, two major breakthroughs have revolutionized the field of Large Language Models (LLMs): 1. 2017: The publication of Google’s seminal paper, (https://arxiv.org/abs/1706.03762) by Vaswani et al., which introduced the Transformer architecture – a neural network that fundamentally changed Natural Language Processing (NLP). 2. 2022: The launch of ChatGPT by OpenAI, a transformer-based chatbot…

How do LLMs work from tokenization, embedding, QKV Activation Functions to output

Editor1 month ago1 month ago045 mins

Course Introduction: How Large Language Models (LLMs) Work What You Will Learn: The LLM Processing Pipeline In this course, you will learn how Large Language Models (LLMs) process text step by step, transforming raw input into intelligent predictions. Here’s a visual overview of the journey your words take through an LLM: Module Roadmap You will…

Types of Machine Learning: A Comprehensive Guide

Editor1 month ago05 mins

Machine Learning (ML) is a subset of artificial intelligence (AI) that enables systems to learn from data and improve over time without explicit programming. ML algorithms are broadly categorized into different types based on their learning approach and application. Understanding these types is crucial for selecting the right model for your problem. In this blog,…

Foundations of Large Language Models: Understand How LLMs Like GPT Work

Editor2 months ago2 months ago042 mins

Large language models originated from natural language processing, but they have undoubtedlybecome one of the most revolutionary technological advancements in the field of artificial intelligence in recent years. An important insight brought by large language models is that knowledgeof the world and languages can be acquired through large-scale language modeling tasks, andin this way, we…

How LLMs Work: Step-by-Step Explanation

Editor5 months ago2 months ago066 mins

What is a large language model (LLM)? Large Language Models are machine learning models that employ Artificial Neural Networks and large data repositories to power Natural Language Processing (NLP) applications. An LLM serves as a type of AI model designed to be able to grasp, create, and manipulate natural language. These models rely on deep…

Large Language Models

Editor6 months ago2 months ago035 mins

Course on Large Language Models NOTE: You’re only meant to change code marked with “# TODO:” Table of Contents Setting Up API Key Configuration Connecting to OpenAI API Exploring the API Creating Chat Completions Understanding Completion Parameters Prompt Engineering Crafting Effective Prompts Strategies and Best Practices Advanced Techniques Utilizing Embeddings Function Calling in LLMs Extras…

Introduction to Artificial Neural Networks (ANNs): A Comprehensive Guide

Editor8 months ago7 months ago013 mins

Artificial Neural Networks (ANNs) are one of the most important advancements in the field of machine learning, inspired by the biological neural networks in the human brain.

Understanding the Layers of Large Language Models (LLMs) and How Data Passes Through Them

Editor3 years ago7 months ago012 mins

Large Language Models (LLMs) such as GPT (Generative Pre-trained Transformer) are a class of deep learning models that have revolutionized natural language processing (NLP).

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

Editor3 years ago7 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.

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Understanding the Layers of Large Language Models (LLMs) and How Data Passes Through Them

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

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Natural Language Processing

Retrieval-Augmented Generation (RAG) enhances LLM text generation using external knowledge

Understanding Transformers: The Mathematical Foundations of Large Language Models

How do LLMs work from tokenization, embedding, QKV Activation Functions to output

Types of Machine Learning: A Comprehensive Guide

Foundations of Large Language Models: Understand How LLMs Like GPT Work

How LLMs Work: Step-by-Step Explanation

Large Language Models

Introduction to Artificial Neural Networks (ANNs): A Comprehensive Guide

Understanding the Layers of Large Language Models (LLMs) and How Data Passes Through Them

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

Technology

Technology

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