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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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CMU AI Researchers Unveil TOFU: A Groundbreaking Machine Learning Benchmark for Data Unlearning in Large Language Models

Marktechpost

Don’t Forget to join our Telegram Channel The post CMU AI Researchers Unveil TOFU: A Groundbreaking Machine Learning Benchmark for Data Unlearning in Large Language Models appeared first on MarkTechPost. If you like our work, you will love our newsletter.

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Can Continual Learning Strategies Outperform Traditional Re-Training in Large Language Models? This AI Research Unveils Efficient Machine Learning Approaches

Marktechpost

Machine learning is witnessing rapid advancements, especially in the domain of large language models (LLMs). These models, which underpin various applications from language translation to content creation, require regular updates with new data to stay relevant and effective. Check out the Paper.

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Google AI Researchers Introduce DiarizationLM: A Machine Learning Framework to Leverage Large Language Models (LLM) to Post-Process the Outputs from a Speaker Diarization System

Marktechpost

[link] Enter ‘DiarizationLM,’ a groundbreaking framework developed by researchers at Google that promises to revolutionize speaker diarization by harnessing the power of large language models (LLMs). DiarizationLM stands as a testament to the evolving landscape of speaker diarization.

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LLMOps: The Next Frontier for Machine Learning Operations

Unite.AI

Machine learning (ML) is a powerful technology that can solve complex problems and deliver customer value. However, ML models are challenging to develop and deploy. This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses.

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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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This AI Paper Unveils the Future of MultiModal Large Language Models (MM-LLMs) – Understanding Their Evolution, Capabilities, and Impact on AI Research

Marktechpost

Recent developments in Multi-Modal (MM) pre-training have helped enhance the capacity of Machine Learning (ML) models to handle and comprehend a variety of data types, including text, pictures, audio, and video. If you like our work, you will love our newsletter.