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Natural Language Processing with R

Heartbeat

The first section of this article will look at the various languages that can be used for NLP, and the second section will focus on five NLP packages available in the R language. We’re committed to supporting and inspiring developers and engineers from all walks of life. Print the tokens print(tokens) 3.

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Generating Images from Audio with Machine Learning

Heartbeat

Model Setup and Code Walkthrough In this section, we’ll get our tools ready. en model, optimized for English-only applications. We’re committed to supporting and inspiring developers and engineers from all walks of life. Curiosity: Most importantly, bring your curiosity and interest. So, let’s get started! We used the “ base”.en

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning Blog

Solution overview In this post, we demonstrate the use of Mixtral-8x7B Instruct text generation combined with the BGE Large En embedding model to efficiently construct a RAG QnA system on an Amazon SageMaker notebook using the parent document retriever tool and contextual compression technique. We use an ml.t3.medium

AWS 115
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Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra

AWS Machine Learning Blog

The insurance provider receives payout claims from the beneficiary’s attorney for different insurance types, such as home, auto, and life insurance. For more information, review section 1.2 In this Lambda function, the documents will be classified as Auto Insurance, Home Insurance, or Life Insurance. in the notebook.

AWS 102
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Healthsea: an end-to-end spaCy pipeline for exploring health supplement effects

Explosion

Section 1: Introducing Healthsea ? Section 4: Clausecat 1.1 Section 2: Understanding the problem 4.3 Evaluation ✨ Section 3: Named Entity Recognition ⚙️ Section 5: Healthsea in production 3.1 Section 2: Understanding the problem 4.3 Section 1: Introducing Healthsea 1.1 Clause Segmentation 1.2

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Semantic image search for articles using Amazon Rekognition, Amazon SageMaker foundation models, and Amazon OpenSearch Service

AWS Machine Learning Blog

Overview of solution The solution is divided into two main sections. In the second main section, you have an API to query your OpenSearch Service index for images using OpenSearch’s intelligent search capabilities to find images that are semantically similar to your text. You then generate an embedding of the metadata using a LLM.

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AI Advances Minimize Risk of Site Accessibility Lawsuits in eCommerce

Smart Data Collective

The Americans with Disabilities Act (ADA ) which became law in 1990, is “a civil rights law that prohibits discrimination against individuals with disabilities in all areas of public life, including jobs, schools, transportation, and all public and private places that are open to the general public”, as described by The ADA National Network.

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