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An Overview of Large Language Models
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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What are Large Language Models?
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...
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A Gentle Introduction To Large Language Models
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
(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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📝 Guest Post: How to Enhance the Usefulness of Large Language Models*
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...
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Large Language Models: What, How, and Why?
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
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
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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👄 A New Open Source Massive Language Model
📝 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...
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Behind the Millions: Estimating the Scale of Large Language Models
Discussing LLMs like ChatGPT, the underlying costs, and inference optimization approaches Continue reading on Towards Data Science
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Language Models
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?
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
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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Large Language Models Just Got A Whole Lot Smaller
TLDR: Large Language Models (LLMs for short) are currently huge, costly to run, and have a significant carbon footprint . Recent advancements in model compression and system-level optimization methods...
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How to Speed Up Training for Large Language Models
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
N-Gram Language Models, Laplace Smoothing, MLE, Perplexity, Katz backoff
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An Introduction to Loading Large Language Models
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
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
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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🗣🏎 The Race for Big Language Models Continues
📝 Editorial Massively large pretrained models have become the norm in natural language processing (NLP). It seems that every other month, we achieve a new milestone in terms of the size of language m...
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Foundation Models: Scaling Large Language Models
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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Large Language Models: DistilBERT — Smaller, Faster, Cheaper and Lighter
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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Language Modeling
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 (LLM): Top 3 of the Most Important Methods
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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