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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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Exploring the Use of LLMs and BERT for Language Tasks

Analytics Vidhya

Introduction In the rapidly evolving landscape of artificial intelligence, especially in NLP, large language models (LLMs) have swiftly transformed interactions with technology. This article explores […] The post Exploring the Use of LLMs and BERT for Language Tasks appeared first on Analytics Vidhya.

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Beginners’ Guide to Finetuning Large Language Models (LLMs)

Analytics Vidhya

Introduction Embark on a journey through the evolution of artificial intelligence and the astounding strides made in Natural Language Processing (NLP). In a mere blink, AI has surged, shaping our world. The seismic impact of finetuning large language models has utterly transformed NLP, revolutionizing our technological interactions.

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Beyond Words: Unleashing the Power of Large Language Models

Analytics Vidhya

Introduction In the realm of artificial intelligence, a transformative force has emerged, capturing the imaginations of researchers, developers, and enthusiasts alike: large language models.

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Understanding Key Terminologies in Large Language Model (LLM) Universe

Marktechpost

Are you curious about the intricate world of large language models (LLMs) and the technical jargon that surrounds them? LLM (Large Language Model) Large Language Models (LLMs) are advanced AI systems trained on extensive text datasets to understand and generate human-like text.

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Small But Mighty: Small Language Models Breakthroughs in the Era of Dominant Large Language Models

Unite.AI

In the ever-evolving domain of Artificial Intelligence (AI), where models like GPT-3 have been dominant for a long time, a silent but groundbreaking shift is taking place. Small Language Models (SLM) are emerging and challenging the prevailing narrative of their larger counterparts.

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This AI Paper Unveils SecFormer: An Advanced Machine Learning Optimization Framework Balancing Privacy and Efficiency in Large Language Models

Marktechpost

The increasing reliance on cloud-hosted large language models for inference services has raised privacy concerns, especially when handling sensitive data. Secure Multi-Party Computing (SMPC) has emerged as a solution for preserving the privacy of both inference data and model parameters. Check out the Paper.