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Building A Multilingual NER App with HuggingFace

Towards AI

Last Updated on March 31, 2024 by Editorial Team Author(s): Tirendaz AI Originally published on Towards AI. Evolution of large language models (Image by Author) When it comes to implementing the Transformer model, the HuggingFace U+1F917 ecosystem is perfect. This is what we’re going to do in this blog.

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Evaluating RAG Metrics Across Different Retrieval Methods

Towards AI

Last Updated on February 3, 2024 by Editorial Team Author(s): Harpreet Sahota Originally published on Towards AI. By Author In this post, you’ll learn about creating synthetic data, evaluating RAG pipelines using the Ragas tool, and understanding how various retrieval methods shape your RAG evaluation metrics.

AI 116
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Inside the Massive Alleged AT&T Data Breach

Hacker News

The linked article talks about the author verifying the data with various people he knows, as well as other well-known infosec identities verifying its accuracy. Whilst I did this in that handful of aforementioned cases as part of the breach verification process, this is something that happens entirely manually and is infeasible en mass.

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Translate documents in real time with Amazon Translate

AWS Machine Learning Blog

en es source-lang.txt Conclusion The real-time document translation feature in Amazon Translate can expedite time to market by enabling easy integration with content creation and localization. For more information about Amazon Translate, visit Amazon Translate resources to find video resources and blog posts, and refer to AWS Translate FAQs.

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Use Amazon SageMaker Studio to build a RAG question answering solution with Llama 2, LangChain, and Pinecone for fast experimentation

Flipboard

We use two AWS Media & Entertainment Blog posts as the sample external data, which we convert into embeddings with the BAAI/bge-small-en-v1.5 Deploy the BAAI/bge-small-en-v1.5 em_model_name = "BAAI/bge-small-en" em_model_path = f"./em-model" embeddings. embeddings model to a SageMaker real-time endpoint.

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From Synonyms to GPT-3: The Ultimate Guide to Text Augmentation for Improving Minority Class Labels in NLP

Towards AI

Last Updated on July 17, 2023 by Editorial Team Author(s): Harshmeet Singh Chandhok Originally published on Towards AI. Stats of how effective this method is is shown at the end of this blog? Text Augmentation uses transformations to create new data from existing text. Here is an illustration for the back translation purpose: #!pip

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Amazon Translate enhances its custom terminology to improve translation accuracy and fluency

AWS Machine Learning Blog

en fr es tutor éducateur tutor sheep agneau oveja walking promenant para caminar burger sandwich hamburguesa action-specific spécifique à l’action especifico de acción order commande commande Exploring the custom terminology feature Let’s translate the sentence “she was a great tutor” with Amazon Translate.