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Integrating Large Language Models with Graph Machine Learning: A Comprehensive Review

Marktechpost

Graph Machine Learning (Graph ML), especially Graph Neural Networks (GNNs), has emerged to effectively model such data, utilizing deep learning’s message-passing mechanism to capture high-order relationships. Foundation Models (FMs) have revolutionized NLP and vision domains in the broader AI spectrum.

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A Beginners Guide to LLMOps For Machine Learning Engineering 

Analytics Vidhya

Introduction The release of OpenAI’s ChatGPT has inspired a lot of interest in large language models (LLMs), and everyone is now talking about artificial intelligence. But it’s not just friendly conversations; the machine learning (ML) community has introduced a new term called LLMOps.

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Build, Deploy, and Manage ML Models with Google Vertex AI

Analytics Vidhya

Vertex AI is a unified platform from Google Cloud offering tools and infrastructure to build, deploy, and manage machine learning models.

ML 267
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Supercharging Graph Neural Networks with Large Language Models: The Ultimate Guide

Unite.AI

Graph Neural Networks (GNNs) have emerged as a powerful deep learning framework for graph machine learning tasks. In parallel, Large Language Models (LLMs) like GPT-4, and LLaMA have taken the world by storm with their incredible natural language understanding and generation capabilities.

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PyTorch Introduces ExecuTorch Alpha: An End-to-End Solution Focused on Deploying Large Language Models and Large Machine Learning ML Models to the Edge

Marktechpost

PyTorch recently introduced ExecuTorch alpha to address the challenge of deploying powerful machine learning models, including extensive language models (LLMs), on edge devices that are limited in resources, such as smartphones and wearables.

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Bridging Large Language Models and Business: LLMops

Unite.AI

The underpinnings of LLMs like OpenAI's GPT-3 or its successor GPT-4 lie in deep learning, a subset of AI, which leverages neural networks with three or more layers. These models are trained on vast datasets encompassing a broad spectrum of internet text.

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LLMOps: The Next Frontier for Machine Learning Operations

Unite.AI

Machine learning (ML) is a powerful technology that can solve complex problems and deliver customer value. However, ML models are challenging to develop and deploy. MLOps are practices that automate and simplify ML workflows and deployments. They need a lot of expertise, resources, and coordination.