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How to design an MLOps architecture in AWS? | by Harminder Singh

A guide for developers and architects especially those who are not specialized in machine learning to design an MLOps architecture for their organization Introduction According to Gartner’s findings, only 53% of machine learning (ML) projects progress from proof of concept (POC) to production. Often there is a misalignment between the strategic objectives of the company…

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Researchers from Johns Hopkins and UC Santa Cruz Unveil D-iGPT: A Groundbreaking Advance in Image-Based AI Learning

Natural language processing (NLP) has entered a transformational period with the introduction of Large Language Models (LLMs), like the GPT series, setting new performance standards for various linguistic tasks. Autoregressive pretraining, which teaches models to forecast the most likely tokens in a sequence, is one of the main factors causing this amazing achievement. Because of…

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Measuring perception in AI models

New benchmark for evaluating multimodal systems based on real-world video, audio, and text data From the Turing test to ImageNet, benchmarks have played an instrumental role in shaping artificial intelligence (AI) by helping define research goals and allowing researchers to measure progress towards those goals. Incredible breakthroughs in the past 10 years, such as AlexNet…

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A Complete Guide for Lead Scoring

Introduction Lead scoring is an essential methodology in the realm of B2B sales and marketing. At its core, it involves assigning a numerical score to each lead, typically on a scale from 1 to 100, to gauge their likelihood of making a purchase. This process is a strategic approach to understand the potential of…

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Researchers from Stanford University and FAIR Meta Unveil CHOIS: A Groundbreaking AI Method for Synthesizing Realistic 3D Human-Object Interactions Guided by Language

The problem of generating synchronized motions of objects and humans within a 3D scene has been addressed by researchers from Stanford University and FAIR Meta by introducing CHOIS. The system operates based on sparse object waypoints, an initial state of things and humans, and a textual description. It controls interactions between humans and objects by…

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