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Spaceship Titanic- A Machine Learning Project-I for Beginners

Towards AI

Photo by SpaceX on Unsplash Spaceship Titanic — A Machine Learning Project It is an innovative venture that combines cutting-edge technology with the boundless possibilities of space exploration. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

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GPS Data Is Incredibly Useful for Geolocation Optimization & Automotive Design

Smart Data Collective

Car companies and GPS providers are sharing geolocation data with each other, which has helped them both offer higher quality products to their shared customers. The petition is supported by UNESPA (Unión Española de Entidades Aseguradoras y Reaseguradoras) and Amice (Asociación de Aseguradoras Mutuas y Cooperativas de Seguros en Europa).

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Leveraging user-generated social media content with text-mining examples

IBM Journey to AI blog

As it pertains to social media data, text mining algorithms (and by extension, text analysis) allow businesses to extract, analyze and interpret linguistic data from comments, posts, customer reviews and other text on social media platforms and leverage those data sources to improve products, services and processes. How does text mining work?

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Artificial Intelligence trends in 2023

How to Learn Machine Learning

It has the potential to improve efficiency, accuracy, and productivity in a wide range of industries, from healthcare and finance to manufacturing and transportation. La entrada Artificial Intelligence trends in 2023 se publicó primero en How to Learn Machine Learning.

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Text embedding and sentence similarity retrieval at scale with Amazon SageMaker JumpStart

AWS Machine Learning Blog

With SageMaker JumpStart, you can access pre-trained, cutting-edge text embedding models from various model providers, including Hugging Face, AI 21 Labs, Cohere, and Meta AI. You can seamlessly deploy these models into production with the SageMaker JumpStart user interface or SDK. English BGE Base En 21.2

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Build financial search applications using the Amazon Bedrock Cohere multilingual embedding model

AWS Machine Learning Blog

We saw how the embedding model enables efficient and accurate discovery of information, thereby boosting the productivity and output quality of an analyst. Gonzalo Betegon is a Solutions Architect at Cohere, a provider of cutting-edge natural language processing technology.

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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

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