Smaug-Llama-3-70B-Instruct: The Future of Open-Source Conversational AI Unveiled
Artificial intelligence (AI) has revolutionized various fields by introducing advanced models for natural language processing (NLP). NLP enables computers to
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Technology
Falcon 2-11B: Harnessing the Power of 5.5T Tokens in AI Development
The Technology Innovation Institute (TII) in Abu Dhabi has recently unveiled Falcon 2-11B, the first artificial intelligence (AI) model of
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Introducing MARKLLM: The Open-Source Toolkit for LLM Watermarking
LLM watermarking has emerged as a crucial technology in the fight against misinformation and the protection of intellectual property in
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Generating Private Synthetic Data: Google AI’s New ML Methods
In today’s data-driven world, privacy has become a major concern when it comes to training machine learning models. As these
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Tackling Memorization in NLP with Huawei’s Theoretical Framework
Transformers have revolutionized the field of natural language processing (NLP) by achieving state-of-the-art performance on various language-based tasks. These powerful
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Meet Verba 1.0: Enhance Your AI with Local RAG and Ollama Integration
Retrieval-augmented generation (RAG) is a cutting-edge technique in artificial intelligence that combines the strengths of retrieval-based approaches with generative models.
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OpenRAVE: The Ultimate Planning Architecture for Autonomous Robotics
Autonomous robotics has witnessed significant progress in recent years, with robots being able to perform complex tasks in dynamic environments.
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Project ALPINE Reveals New Frontiers in AI Planning with Transformers
Large Language Models (LLMs) have gained significant attention due to their impressive capabilities in various tasks, such as language processing,
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CinePile: A Novel Dataset and Benchmark for Long-Form Video Understanding
Video understanding is a rapidly evolving field in artificial intelligence (AI) research, focusing on enabling machines to comprehend and analyze
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How Quantum Machine Learning is Transforming EEG Signal Processing
In recent years, there has been a growing interest in combining quantum computing with machine learning to solve complex problems
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