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Unveiling the Future of Text Analysis: Trendy Topic Modeling with BERT

Analytics Vidhya

A corpus of text is an example of a collection of documents. This method highlights the underlying structure of a body of text, bringing to light themes and patterns that might […] The post Unveiling the Future of Text Analysis: Trendy Topic Modeling with BERT appeared first on Analytics Vidhya.

BERT 271
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Jina Embeddings v2: Handling Long Documents Made Easy

Analytics Vidhya

Current text embedding models, like BERT, are limited to processing only 512 tokens at a time, which hinders their effectiveness with long documents. This limitation often results in loss of context and nuanced understanding.

BERT 208
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Fine-Tuning Legal-BERT: LLMs For Automated Legal Text Classification

Towards AI

Unlocking efficient legal document classification with NLP fine-tuning Image Created by Author Introduction In today’s fast-paced legal industry, professionals are inundated with an ever-growing volume of complex documents — from intricate contract provisions and merger agreements to regulatory compliance records and court filings.

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Optimizing LLM for Long Text Inputs and Chat Applications

Analytics Vidhya

These models, like GPT and BERT, have illustrated extraordinary capabilities in understanding and producing human-like content.

LLM 208
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Top BERT Applications You Should Know About

Marktechpost

Models like GPT, BERT, and PaLM are getting popular for all the good reasons. The well-known model BERT, which stands for Bidirectional Encoder Representations from Transformers, has a number of amazing applications. It aims to reduce a document to a manageable length while keeping the majority of its meaning.

BERT 98
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Reduce inference time for BERT models using neural architecture search and SageMaker Automated Model Tuning

AWS Machine Learning Blog

In this post, we demonstrate how to use neural architecture search (NAS) based structural pruning to compress a fine-tuned BERT model to improve model performance and reduce inference times. First, we use an Amazon SageMaker Studio notebook to fine-tune a pre-trained BERT model on a target task using a domain-specific dataset.

BERT 129
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LLMWare Launches RAG-Specialized 7B Parameter LLMs: Production-Grade Fine-Tuned Models for Enterprise Workflows Involving Complex Business Documents

Marktechpost

document parsing, embedding, prompt management, source verification, audit tracking); High-quality, smaller, specialized LLMs that have been optimized for fact-based question-answering and enterprise workflows and Open Source, Cost-effective, Private deployment with flexibility and options for customization. not found’ classification).

LLM 137