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NVIDIA AI Researchers Explore Upcycling Large Language Models into Sparse Mixture-of-Experts

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Don’t Forget to join our 50k+ ML SubReddit [Upcoming Event- Oct 17 202] RetrieveX – The GenAI Data Retrieval Conference (Promoted) The post NVIDIA AI Researchers Explore Upcycling Large Language Models into Sparse Mixture-of-Experts appeared first on MarkTechPost.

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Large Language Models Surprise Meta AI Researchers at Compiler Optimization!

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LLVM’s optimizer is incredibly complex, with thousands of rules and algorithms written in over 1 million lines of code in the C++ programming language. Their approach is straightforward, starting with a 7-billion-parameter Large Language Model (LLM) architecture sourced from LLaMa 2 [25] and initializing it from scratch.

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This AI Research Introduces Owl: A New Large Language Model for IT Operations

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In the ever-evolving landscape of Natural Language Processing (NLP) and Artificial Intelligence (AI), Large Language Models (LLMs) have emerged as powerful tools, demonstrating remarkable capabilities in various NLP tasks. In conclusion, the Owl represents a groundbreaking advancement in the realm of IT operations.

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Salesforce AI Research Introduces LaTRO: A Self-Rewarding Framework for Enhancing Reasoning Capabilities in Large Language Models

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Large language models (LLMs), useful for answering questions and generating content, are now being trained to handle tasks requiring advanced reasoning, such as complex problem-solving in mathematics, science, and logical deduction. Don’t Forget to join our 55k+ ML SubReddit.

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

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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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Apple AI Research Introduces MM1.5: A New Family of Highly Performant Generalist Multimodal Large Language Models (MLLMs)

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Multimodal large language models (MLLMs) represent a cutting-edge area in artificial intelligence, combining diverse data modalities like text, images, and even video to build a unified understanding across domains. is poised to address key challenges in multimodal AI. The post Apple AI Research Introduces MM1.5:

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

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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.