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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 ...

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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...

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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...

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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...

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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...

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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...

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Behind the Millions: Estimating the Scale of Large Language Models

 Towards Data Science

Discussing LLMs like ChatGPT, the underlying costs, and inference optimization approaches Continue reading on Towards Data Science

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Language Models

 Towards Data Science

What is a Language Model and how to train one? Machine Learning approaches used to train, outputs and utility of Language Models

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What Are Large Language Models?

 Towards AI

Table of Contents: Large Language Models Definition Overview of LLM Use Cases Explain Prompt Tuning Looking to start a career in data science and AI and need to learn how . I offer data science mentor...

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A Gentle Introduction to Open Source Large Language Models

 Towards Data Science

Unless you’ve been living under a rock for the last year, you’ve witnessed the ChatGPT revolution and to how everyone seems unable to stop using it. In this article, we’ll explore its alternatives, ju...

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How to Speed Up Training for Large Language Models

 Towards Data Science

Explore the concept of sequence parallelism and selective activation re-computation Continue reading on Towards Data Science

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N-Gram Language Models

 Towards Data Science

N-Gram Language Models, Laplace Smoothing, MLE, Perplexity, Katz backoff

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An Introduction to Loading Large Language Models

 Towards Data Science

In the Age of AI Giants, where models trained on terabytes of data and billions of parameters reign supreme, the domain of natural language processing has become even more accessible — not just to eng...

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3 Complex Challenges Large Language Models Suffer From

 Python in Plain English

Despite being extremely powerful, large language models suffer from many challenges that are yet to be resolved! In this article we go through 3 challenges that hinder large language models taken from...

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Making Sense of the Promise (and Risks) of Large Language Models

 Towards Data Science

While ChatGPT and similar tools have monopolized much of our collective attention in recent months, large language models (LLMs)—the infrastructure behind all those chat outputs we endlessly share, sc...

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Foundation Models: Scaling Large Language Models

 Towards AI

Inside generative AI and LLMs such as ChatGPT, GPT-4, Claude, Bard, LLaMA, ToolFormer, Google USM, PaLM, NeMo, Dolly, etc. Foundation — Tree of Life (Photo courtesy by author) The thrilling AI journe...

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Language Modeling

 Towards Data Science

As you might have guessed by now, language modeling is a use-case employed by us daily, and still, its a complicated concept to grasp. REALM (Retrieval-Augmented Language Model Pre-Training) is the…

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Large Language Models: DistilBERT — Smaller, Faster, Cheaper and Lighter

 Towards Data Science

Large Language Models: DistilBERT — Smaller, Faster, Cheaper and Lighter Unlocking the secrets of BERT compression: a student-teacher framework for maximum efficiency Introduction In recent years, th...

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Large Language Models (LLM): Top 3 of the Most Important Methods

 Towards AI

3 requirements to ensure your large language models (LLMs) you are training or working with provide optimal outputs and results Continue reading on Towards AI

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A Framework For Efficiently Serving Your Large Language Models

 Towards AI

Introduction There has been a lot of enthusiasm in the last couple of months around using Large Language Models. Well, this is not surprising due to their ability to help tackle most of the use cases ...

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All Large Language Models (LLMs) You Should Know in 2023

 Towards Data Science

Introduction In my last article , we dived into the world of machine learning models, understanding their working principles and how they fit into various practical applications. Today, we’ll venture ...

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Navigating the Large Language Model Landscape

 Towards Data Science

Choices and considerations for enterprises Image : David Kolb Microsoft and Meta have recently unveiled Llama 2, the next-generation open-source large language model (LLM). With Llama 2’s extensive c...

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The Scale Paradox: Why Bigger Language Models Aren’t Always Better

 Level Up Coding

Ever think that bigger language models—with more parameters—automatically translate into better performance? Well, it's time to reconsider. Buckle up as we traverse the intricate terrain of parameter...

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In-Context Learning Approaches in Large Language Models

 Towards Data Science

Simple and powerful techniques to make LLMs learn new tasks at inference time Introduction Language modeling (LM) aims to model the generative likelihood of word sequences, so as to predict the proba...

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