Remove Auto-complete Remove Categorization Remove Natural Language Processing
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Beyond ChatGPT; AI Agent: A New World of Workers

Unite.AI

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. Current Landscape of AI Agents AI agents, including Auto-GPT, AgentGPT, and BabyAGI, are heralding a new era in the expansive AI universe.

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

Unite.AI

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. Named Entity Recognition ( NER) Named entity recognition (NER), an NLP technique, identifies and categorizes key information in text.

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Understanding Graph Neural Network with hands-on example| Part-1

Becoming Human

Graph Classification: The goal here is to categorize the entire graph into various categories. The simplest GCN has only three different operators: Graph convolution Linear layer Nonlinear activation In most cases, the operations are completed in this order. In order to create a complete GCN, we can combine one or more layers.

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Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra

AWS Machine Learning Blog

The custom metadata helps organizations and enterprises categorize information in their preferred way. The insurance provider receives payout claims from the beneficiary’s attorney for different insurance types, such as home, auto, and life insurance. For example, metadata can be used for filtering and searching. append(e["Text"].upper())

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Build well-architected IDP solutions with a custom lens – Part 5: Cost optimization

AWS Machine Learning Blog

An intelligent document processing (IDP) project usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. This can be achieved by updating the endpoint’s inference units (IUs).

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How to Use Hugging Face Pipelines?

Towards AI

Zero-Shot Classification Imagine you want to categorize unlabeled text. Our model gets a prompt and auto-completes it. Let’s have a look at a few of these. The pipeline we’re going to talk about now is zero-hit classification. This is where the zero-shot classification pipeline comes in. It helps you label text.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning Blog

To address these challenges, parent document retrievers categorize and designate incoming documents as parent documents. These documents are recognized for their comprehensive nature but aren’t directly utilized in their original form for embeddings. This identity is called the AWS account root user.

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