Remove 2011 Remove Categorization Remove Responsible AI
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Predicting new and existing product sales in semiconductors using Amazon Forecast

AWS Machine Learning Blog

These features include product fabrication techniques and other related categorical information related to the products. For example, in the 2019 WAPE value, we trained our model using sales data between 2011–2018 and predicted sales values for the next 12 months (2019 sale). We next calculated the MAPE for the actual sales values.

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DXC transforms data exploration for their oil and gas customers with LLM-powered tools

AWS Machine Learning Blog

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

LLM 102
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The State of Multilingual AI

Sebastian Ruder

Bender [2] highlighted the need for language independence in 2011. 92] categorized the languages of the world into six different categories based on the amount of labeled and unlabeled data available in them. Around 400 languages have more than 1M speakers and around 1,200 languages have more than 100k [1]. Joshi et al. [92]