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Improving air quality with generative AI

AWS Machine Learning Blog

This post presents a solution that uses a generative artificial intelligence (AI) to standardize air quality data from low-cost sensors in Africa, specifically addressing the air quality data integration problem of low-cost sensors. Qiong (Jo) Zhang , PhD, is a Senior Partner Solutions Architect at AWS, specializing in AI/ML.

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From text to dream job: Building an NLP-based job recommender at Talent.com with Amazon SageMaker

AWS Machine Learning Blog

Founded in 2011, Talent.com is one of the world’s largest sources of employment. Feature engineering We perform two sets of feature engineering processes to extract valuable information from the raw data and feed it into the corresponding towers in the model: standard feature engineering and fine-tuned SBERT embeddings.

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Top 10 Deep Learning Platforms in 2024

DagsHub

Source: Author Introduction Deep learning, a branch of machine learning inspired by biological neural networks, has become a key technique in artificial intelligence (AI) applications. Deep learning methods use multi-layer artificial neural networks to extract intricate patterns from large data sets.

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IBM Watson Supercomputer

Dataconomy

Its impactful journey and evolution represent a distinctive blend of innovation and technology, establishing it as a prominent player in the AI landscape. IBM Watson Supercomputer is an advanced AI-driven computing system designed for complex problem-solving and question answering. What is IBM Watson Supercomputer?

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Fine-tune Meta Llama 3.2 text generation models for generative AI inference using Amazon SageMaker JumpStart

AWS Machine Learning Blog

Generative AI models have seen tremendous growth, offering cutting-edge solutions for text generation, summarization, code generation, and question answering. To address these gaps and maximize their utility in specialized scenarios, fine-tuning with domain-specific data is essential to boost accuracy and relevance. 1B and Llama-3.2-3B,

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