Remove p direct-preference-optimization-intuitively-explained
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How to Build a CI/CD MLOps Pipeline [Case Study]

The MLOps Blog

Based on the McKinsey survey , 56% of orgs today are using machine learning in at least one business function. AWS Sagemeaker is in fact a great tool for machine learning operations (MLOps) to automate and standardize processes across the ML lifecycle. This is a blog post from AWS to optimize cloud services costs.

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Tools and Methodologies for Studying Causal Effects

PyImageSearch

Tools and Methodologies for Studying Causal Effects Welcome back to Part 3 of the 5-part series on Causality in Machine Learning. Picking up where we left off, let us revise what we learned in Part 1. Well, at the core of it, causal knowledge prefers the intervention it demands. You can find it right here.

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Let's think about slowing down AI

AI Impacts

So in particular, I’m including both actions whose direct aim is slowness in general, and actions whose aim is requiring safety before specific developments, which implies slower progress.) It can be hard to intuitively feel like one shouldn’t do it. The whole future is on the line!

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The Magical World of Edge AI and Federated Learning: Unleashing the Power of Smart Devices and…

Heartbeat

At their core, Edge AI and Federated Learning challenge the conventional wisdom of centralized data processing. While Edge AI focuses on localized intelligence and processing data directly on individual devices, Federated Learning emphasizes collaborative model training without needing raw data exchange.

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