At NeurIPS 2024, we turn complex research papers into engaging, AI-generated zines.
NeurIPS 2024 celebrates groundbreaking research in AI and machine learning. Dive into the award-winning papers and explore the key innovations shaping the future of technology.
Curated list of potential ventures in AI and software, offering insights into emerging opportunities and challenges for technical founders.
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Covers a comprehensive overview of OLMo, covering its training data, code, weights, and evaluation tools for NLP research.
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Details SAM 2 advancements in image and video segmentation, dataset creation, training, and applications for interactive, real-time visual segmentation.
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MAMBA 2 framework, connecting state-space models and attention mechanisms for efficient deep learning computation.
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Extensive synthetic dataset generated using Mixtral-8x7B-Instruct-v0.1, replicating Microsoft's Phi-1.5 training data. Used in pre-training LLMs.
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Compact language models (135M, 360M, and 1.7B params), each excels in their size categories across various benchmarks.
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Open-source platform for building AI agents with software engineering, web browsing, and multi-agent collaboration.
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Intricacies of the semiconductor industry and its trajectory towards achieving AGI by the decade's end.
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"Thoth AI brilliantly transformed Best Papers in 2024 announcement into a visually stunning flyer that perfectly balanced academic rigor with engaging design. Their work significantly amplified the visibility of the research in the machine learning community." - Charlotte Xia, Fusion Fund
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