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Large Language Models

Large Language Models (LLMs) are advanced AI systems designed to understand and generate human-like text. They operate by predicting the probability distribution over sequences of words, allowing them to generate coherent and contextually relevant responses. The evolution of LLMs has shifted from traditional probabilistic methods to utilizing artificial neural networks, which significantly enhance their performance in natural language processing tasks ¹.

These models are built on architectures such as transformers, which enable them to process and understand complex language patterns. LLMs can be instruction-tuned, allowing them to follow specific prompts and engage in conversational interactions, as seen with popular models like ChatGPT ³.

Recent trends indicate that while larger models with more parameters have been the focus, there is a growing recognition that the quality of data and training strategies can also lead to effective language models, sometimes outperforming larger counterparts ⁵. This shift emphasizes the importance of not just size but also the intelligence behind model design and training.

An Overview of Large Language Models

Better Programming

An introduction to large language models, including vectorization, transformers, common nlp models, and considerations for designing apps with OpenAI tokens and PEFT. Large Language Models Utilizing ...

Introducing The Big Book of Large Language Models!

The AiEdge Newsletter

For the past years, I have been creating educational content around machine learning and, specifically, large language models.

What are Large Language Models?

The AiEdge Newsletter

Today we welcome Etienne Bernard, CEO of NuMind, as a guest writer! Let’s learn more about Large Language Models. We cover: Language Models Naive Language Models Neural-Network Based Language Models M...

A Gentle Introduction To Large Language Models

Towards AI

Image generated using DALL-E Hi, glad you found your way to this Gentle Introduction to Large Language Models or LLMs. Now, since you are here, it’s safe to assume that you have been pulling your hair...

Not-So-Large Language Models: Good Data Overthrows the Goliath

Towards Data Science

(Image generated by DALL·E) How to make a million-sized language model that tops a billion-size one In this article, we will see how Language Models (LM) can focus on better data and training strategi...

📝 Guest Post: How to Enhance the Usefulness of Large Language Models*

TheSequence

In this guest post, Filip Haltmayer, a Software Engineer at Zilliz, explains how LangChain and Milvus can enhance the usefulness of Large Language Models (LLMs) by allowing for the storage and retriev...

Large Language Models: What, How, and Why?

Towards AI

Have you ever wondered how some apps and websites could understand what you type or say, and give you relevant responses or suggestions? How can they generate realistic and coherent texts, such as su...

Large Language Models: A Short Introduction

Towards Data Science

And why you should care about LLMs Image by author. There’s an acronym you’ve probably heard non-stop for the past few years: LLM, which stands for Large Language Model. In this article we’re going t...

Catch Up On Large Language Models

Towards Data Science

If you are here, it means that like me you were overwhelmed by the constant flow of information, and hype posts surrounding large language models (LLMs). This article is my attempt at helping you catc...

A Guide to Build Your Own Large Language Models from Scratch

Python in Plain English

Introduction Everyday, I come across numerous posts discussing Large Language Models (LLMs). The prevalence of these models in the research and development community has always intrigued me. With nam...

Large Language Models (LLMs)

Python in Plain English

By Abdul Rauf Jatoi Intro Imagine being able to chat with a computer that responds just like a human, helping you write, code, or even create art! This is the magic of Large Language Models (LLMs). T...

👄 A New Open Source Massive Language Model

TheSequence

📝 Editorial Large language models are the norm of the day in deep learning. Every other month, we see news of a new multi-billion parameter pretrained model reaching new milestones on different langu...