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An Introduction to Large Language Models (LLMs)

Analytics Vidhya

Introduction Large Language Models (LLMs) are foundational machine learning models that use deep learning algorithms to process and understand natural language. These models are trained on massive amounts of text data to learn patterns and entity relationships in the language.

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The Full Story of Large Language Models and RLHF

AssemblyAI

A New Era of Language Intelligence At its essence, ChatGPT belongs to a class of AI systems called Large Language Models , which can perform an outstanding variety of cognitive tasks involving natural language. From Language Models to Large Language Models How good can a language model become?

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How to Use Gemma LLM?

Analytics Vidhya

Introduction Large language models (LLMs) are increasingly becoming powerful tools for understanding and generating human language. LLMs have even shown promise in more specialized domains, like healthcare, finance, and law. Google has been […] The post How to Use Gemma LLM?

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Essential Practices for Building Robust LLM Pipelines

Analytics Vidhya

Introduction Large Language Model Operations (LLMOps) is an extension of MLOps, tailored specifically to the unique challenges of managing large-scale language models like GPT, PaLM, and BERT.

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All You Need to Know About Gemma, the Open-Source LLM Powerhouse

Analytics Vidhya

Google has been a frontrunner in AI research, contributing significantly to the open-source community with transformative technologies like TensorFlow, BERT, T5, JAX, AlphaFold, and AlphaCode. What is Gemma LLM?

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Optimizing LLM for Long Text Inputs and Chat Applications

Analytics Vidhya

Large Language Models (LLMs) have revolutionized characteristic dialect preparing (NLP), fueling applications extending from summarization and interpretation to conversational operators and retrieval-based frameworks.

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Supercharging Graph Neural Networks with Large Language Models: The Ultimate Guide

Unite.AI

In parallel, Large Language Models (LLMs) like GPT-4, and LLaMA have taken the world by storm with their incredible natural language understanding and generation capabilities. In this article, we will delve into the latest research at the intersection of graph machine learning and large language models.