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Will Large Language Models End Programming?

Unite.AI

Unlike GPT-4, which had information only up to 2021, GPT-4 Turbo is updated with knowledge up until April 2023, marking a significant step forward in the AI's relevance and applicability. The mundane tasks of programming may soon fall to AI, reducing the need for deep coding expertise. AI's influence in programming is already huge.

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

Unite.AI

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. On one hand, the knowledge and reasoning capabilities of LLMs present opportunities to enhance traditional GNN models.

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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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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.

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The Future of Serverless Inference for Large Language Models

Unite.AI

Recent advances in large language models (LLMs) like GPT-4, PaLM have led to transformative capabilities in natural language tasks. Prominent implementations include Amazon SageMaker, Microsoft Azure ML, and open-source options like KServe.

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The Vulnerabilities and Security Threats Facing Large Language Models

Unite.AI

Large language models (LLMs) like GPT-4, DALL-E have captivated the public imagination and demonstrated immense potential across a variety of applications. However, for all their capabilities, these powerful AI systems also come with significant vulnerabilities that could be exploited by malicious actors.

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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.