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Knowledge Fusion of Large Language Models (LLMs)

Analytics Vidhya

Introduction In Natural Language Processing (NLP), developing Large Language Models (LLMs) has proven to be a transformative and revolutionary endeavor. These models, equipped with massive parameters and trained on extensive datasets, have demonstrated unprecedented proficiency across many NLP tasks.

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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).

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This AI Research Shares a Comprehensive Overview of Large Language Models (LLMs) on Graphs

Marktechpost

The well-known Large Language Models (LLMs) like GPT, BERT, PaLM, and LLaMA have brought in some great advancements in Natural Language Processing (NLP) and Natural Language Generation (NLG). If you like our work, you will love our newsletter.

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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. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses….

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Stanford Researchers Innovate in Large Language Model Factuality: Automatic Preference Rankings and NLP Advancements for Error Reduction

Marktechpost

Researchers from Stanford University and UNC Chapel Hill address the issue of factually inaccurate claims, known as hallucinations, produced by LLMs. Without human labeling, the researchers fine-tune LLMs to enhance factual accuracy in open-ended generation settings. If you like our work, you will love our newsletter.

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Researchers from Inception, MBZUAI, and Cerebras Open-Sourced ‘Jais’: The World’s Most Advanced Arabic Large Language Model

Marktechpost

Large language models like GPT-3 and their impact on various aspects of society are a subject of significant interest and debate. Large language models have significantly advanced the field of NLP. Addressing these biases and ensuring the responsible use of AI in Arabic contexts is an ongoing concern.

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Do Large Language Models Really Need All Those Layers? This AI Research Unmasks Model Efficiency: The Quest for Essential Components in Large Language Models

Marktechpost

The advent of large language models (LLMs) has sparked significant interest among the public, particularly with the emergence of ChatGPT. These models, which are trained on extensive amounts of data, can learn in context, even with minimal examples. Strikingly, even after removing up to 70% (around 15.7