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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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Comparing LLMs for Text Summarization and Question Answering

Analytics Vidhya

Large Language Models like BERT, T5, BART, and DistilBERT are powerful tools in natural language processing where each is designed with unique strengths for specific tasks. These models vary in their architecture, performance, and efficiency.

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A Survey of RAG and RAU: Advancing Natural Language Processing with Retrieval-Augmented Language Models

Marktechpost

Natural Language Processing (NLP) is integral to artificial intelligence, enabling seamless communication between humans and computers. Researchers from East China University of Science and Technology and Peking University have surveyed the integrated retrieval-augmented approaches to language models.

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How natural language processing transformers can provide BERT-based sentiment classification on March Madness

SAS Software

SAS' Ali Dixon and Mary Osborne reveal why a BERT-based classifier is now part of our natural language processing capabilities of SAS Viya. The post How natural language processing transformers can provide BERT-based sentiment classification on March Madness appeared first on SAS Blogs.

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Guide to Fine-tuning Gemini for Masking PII Data

Analytics Vidhya

Introduction With the advent of Large Language Models (LLMs), they have permeated numerous applications, supplanting smaller transformer models like BERT or Rule Based Models in many Natural Language Processing (NLP) tasks.

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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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Training Improved Text Embeddings with Large Language Models

Unite.AI

They serve as a core building block in many natural language processing (NLP) applications today, including information retrieval, question answering, semantic search and more. More recent methods based on pre-trained language models like BERT obtain much better context-aware embeddings.