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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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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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Persistent Systems Introduces SASVA: AI-Powered Software Engineering Platform

Analytics Vidhya

Persistent Systems, a leader in Digital Engineering and Enterprise Modernization, has unveiled SASVA, an innovative AI platform poised to transform software engineering practices.

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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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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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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.