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Knowledge Fusion of Large Language Models (LLMs)

Analytics Vidhya

Introduction In Natural Language Processing (NLP), developing Large Language Models (LLMs) has proven to be a transformative and revolutionary endeavor. These models, equipped with massive parameters and trained on extensive datasets, have demonstrated unprecedented proficiency across many NLP tasks.

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A Survey of Large Language Models (LLMs)

Analytics Vidhya

Introduction The landscape of technological advancement has been dramatically reshaped by the emergence of Large Language Models (LLMs), an innovative branch of artificial intelligence. LLMs have exhibited a remarkable […] The post A Survey of Large Language Models (LLMs) appeared first on Analytics Vidhya.

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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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Beginners’ Guide to Finetuning Large Language Models (LLMs)

Analytics Vidhya

Introduction Embark on a journey through the evolution of artificial intelligence and the astounding strides made in Natural Language Processing (NLP). The seismic impact of finetuning large language models has utterly transformed NLP, revolutionizing our technological interactions.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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7 Steps to Mastering Large Language Models (LLMs)

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Large Language Models (LLMs) have unlocked a new era in natural language processing. Go from learning what large language models are to building and deploying LLM apps in 7 easy steps with this guide. So why not learn more about them?

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This AI Paper by Scale AI Introduces GSM1k for Measuring Reasoning Accuracy in Large Language Models LLMs

Marktechpost

It has revolutionized domains such as image recognition, natural language processing, and personalized recommendations. One of the major challenges facing machine learning is the opacity surrounding how models make decisions. These frameworks assess LLMs’ reasoning by comparing model performance on novel and known data.