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Making Sense of the Mess: LLMs Role in Unstructured Data Extraction

Unite.AI

Named Entity Recognition ( NER) Named entity recognition (NER), an NLP technique, identifies and categorizes key information in text. Source: A pipeline on Generative AI This figure of a generative AI pipeline illustrates the applicability of models such as BERT, GPT, and OPT in data extraction.

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A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

in 2012 is now widely referred to as ML’s “Cambrian Explosion.” Parallel computing Parallel computing refers to carrying out multiple processes simultaneously, and can be categorized according to the granularity at which parallelism is supported by the hardware. The union of advances in hardware and ML has led us to the current day.

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Quantization Aware Training in PyTorch

Bugra Akyildiz

Large models like GPT-3 (175B parameters) or BERT-Large (340M parameters) can be reduced by 75% or more. Running BERT models on smartphones for on-device natural language processing requires much less energy due to resource constrained in smartphones than server deployments. million per year in 2014 currency) in Shanghai.

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Building Knowledge Graphs With ML: A Technical Guide

Viso.ai

Modern Structured Knowledge: The term “knowledge graph” came into popularity in 2012 following its adoption by Google’s search engine, highlighting a knowledge fusion framework known as the Knowledge Vault (Google Knowledge Graph) for constructing large-scale knowledge graphs. scientists, artists).

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