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How ML System Design helps us to make better ML products

Xebia

With the industry moving towards end-to-end ML teams to enable them to implement MLOPs practices, it is paramount to look past the model and view the entire system around your machine learning model. Demand forecasting is chosen because it’s a very tangible problem and very suitable application for machine learning.

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The road to Software 2.0

O'Reilly Media - Data

Roughly a year ago, we wrote “ What machine learning means for software development.” Up until now, we’ve built systems by carefully and painstakingly telling systems exactly what to do, instruction by instruction. In short, we can use machine learning to automate software development itself.

Software 337
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Extend large language models powered by Amazon SageMaker AI using Model Context Protocol

AWS Machine Learning - AI

She is a published author of two books Natural Language Processing with AWS AI Services and Google Cloud Certified Professional Machine Learning Study Guide. She was a Lead Generative AI specialist in Google Public Sector at Google before joining Amazon.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

For instance, consider an AI-driven legal document analysis system designed for businesses of varying sizes, offering two primary subscription tiers: Basic and Pro. He specializes in machine learning and is a generative AI lead for NAMER startups team. He regularly presents at AWS conferences and partner events.

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Recycling robotics firm Glacier emerges from stealth with $4.5M

TechCrunch

Advances in things like computer vision and machine learning have made these devices increasingly well positioned to take on the task. Colorado-based AMP is probably the best known, while big companies like Apple have their own in-house system designed to strip iPhones down to their reusable parts.

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Cognixion raises $12M to build its brain-monitoring headset for people with disabilities

TechCrunch

The advance it’s all built on is a new type of (non-invasive) electrode and a machine learning system that quickly interprets the signals produced by the ones embedded in the headset. ” Two new features in particular are underway.

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Document Classification With Machine Learning: Computer Vision, OCR, NLP, and Other Techniques

Altexsoft

So businesses employ machine learning (ML) and Artificial Intelligence (AI) technologies for classification tasks. Namely, we’ll look at how rule-based systems and machine learning models work in this context. Classifying formal documents by type is the most basic example where rule-based systems would work well.