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5 Best Large Language Models (LLMs) (September 2024)

Unite.AI

The field of artificial intelligence is evolving at a breathtaking pace, with large language models (LLMs) leading the charge in natural language processing and understanding. As we navigate this, a new generation of LLMs has emerged, each pushing the boundaries of what's possible in AI.

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AI Learns from AI: The Emergence of Social Learning Among Large Language Models

Unite.AI

Since OpenAI unveiled ChatGPT in late 2022, the role of foundational large language models (LLMs) has become increasingly prominent in artificial intelligence (AI), particularly in natural language processing (NLP). This could redefine how knowledge transfer and innovation occur.

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Complete Guide on Gemma 2: Google’s New Open Large Language Model

Unite.AI

Whether you're a seasoned AI practitioner or an enthusiastic newcomer to the field, this article aims to provide valuable insights into how Gemma 2 works and how you can leverage its power in your own projects. Gemma 2 is Google's newest open-source large language model, designed to be lightweight yet powerful.

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Decoder-Based Large Language Models: A Complete Guide

Unite.AI

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by demonstrating remarkable capabilities in generating human-like text, answering questions, and assisting with a wide range of language-related tasks.

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The Hidden Influence of Data Contamination on Large Language Models

Unite.AI

Data contamination in Large Language Models (LLMs) is a significant concern that can impact their performance on various tasks. What Are Large Language Models? LLMs have gained significant popularity and are widely used in various applications, including natural language processing and machine translation.

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LLMOps: The Next Frontier for Machine Learning Operations

Unite.AI

But more than MLOps is needed for a new type of ML model called Large Language Models (LLMs). LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code.

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Microsoft Researchers Combine Small and Large Language Models for Faster, More Accurate Hallucination Detection

Marktechpost

Large Language Models (LLMs) have demonstrated remarkable capabilities in various natural language processing tasks. However, they face a significant challenge: hallucinations, where the models generate responses that are not grounded in the source material.