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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. In this article, we will delve into the latest research at the intersection of graph machine learning and large language models.

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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, these promising models also pose novel vulnerabilities that must be addressed.

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Will Large Language Models End Programming?

Unite.AI

In areas like image generation diffusion model like Runway ML , DALL-E 3 , shows massive improvements. The post Will Large Language Models End Programming? The rapid advancements in AI, are not limitd to text/code generation. Just see the below tweet by Runway showcasing their latest feature.

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Bridging Large Language Models and Business: LLMops

Unite.AI

LLMOps versus MLOps Machine learning operations (MLOps) has been well-trodden, offering a structured pathway to transition machine learning (ML) models from development to production. The cost of inference further underscores the importance of model compression and distillation techniques to curb computational expenses.

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Microsoft AI Research Introduces Generalized Instruction Tuning (called GLAN): A General and Scalable Artificial Intelligence Method for Instruction Tuning of Large Language Models (LLMs)

Marktechpost

Large Language Models (LLMs) have significantly evolved in recent times, especially in the areas of text understanding and generation. Join our 38k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. Check out the Paper. Also, don’t forget to follow us on Twitter and Google News.

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Unlocking Speed and Efficiency in Large Language Models with Ouroboros: A Novel Artificial Intelligence Approach to Overcome the Challenges of Speculative Decoding

Marktechpost

The prowess of Large Language Models (LLMs) such as GPT and BERT has been a game-changer, propelling advancements in machine understanding and generation of human-like text. These models have mastered the intricacies of language, enabling them to tackle tasks with remarkable accuracy.

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This AI Paper from China Introduces ShortGPT: A Novel Artificial Intelligence Approach to Pruning Large Language Models (LLMs) based on Layer Redundancy

Marktechpost

Recent advancements in Large Language Models (LLMs) have led to models containing billions or even trillions of parameters, achieving remarkable performance across domains. Research has focused on scaling models to enhance performance, guided by established scaling laws. The researchers from Baichuan Inc.