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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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Snowflake AI Research Team Unveils Arctic: An Open-Source Enterprise-Grade Large Language Model (LLM) with a Staggering 480B Parameters

Marktechpost

Snowflake AI Research has launched the Arctic , a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard for cost-effectiveness and accessibility.

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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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AutoGen: Powering Next Generation Large Language Model Applications

Unite.AI

Large Language Models (LLMs) are currently one of the most discussed topics in mainstream AI. These models are AI algorithms that utilize deep learning techniques and vast amounts of training data to understand, summarize, predict, and generate a wide range of content, including text, audio, images, videos, and more.

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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 Research from China Proposes YAYI2-30B: A Multilingual Open-Source Large Language Model with 30 Billion Parameters

Marktechpost

Researchers have identified a critical need for models tailored specifically for Chinese applications in large language models. The YAYI2-30B model addresses this imperative by refining the existing paradigms, aiming to overcome limitations encountered in models like MPT-30B, Falcon-40B, and LLaMA 2-34B.

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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. In MM-LLMs, pre-trained unimodal models, particularly LLMs, are mixed with additional modalities to capitalize on their strengths.