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Long short-term memory (LSTM) models have been shown to be efficient for rainfall-runoff modeling, and to a lesser extent, for groundwater depth forecasting.... long short term memory https://www.dagstuhl.de/seminars/seminar-calendar/seminar-details/11011 Dagstuhl Seminar 11011: Multi-Core Memory Models and Concurrency Theory dagstuhl seminarmulti corememory modelsconcurrencytheory https://arxiv.org/abs/2311.03839 [2311.03839] Aspects of human memory and Large Language Models Abstract page for arXiv paper 2311.03839: Aspects of human memory and Large Language Models human memoryand large2311aspectslanguage https://deepai.org/publication/lora-fa-memory-efficient-low-rank-adaptation-for-large-language-models-fine-tuning LoRA-FA: Memory-efficient Low-rank Adaptation for Large Language Models Fine-tuning | DeepAI Aug 7, 2023 - 08/07/23 - The low-rank adaptation (LoRA) method can largely reduce the amount of trainable parameters for fine-tuning large language models ... https://lmstudio.ai/docs/typescript/manage-models/loading Manage Models in Memory | LM Studio APIs to load, access, and unload models from memory manage modelsin memorylmstudio https://openreview.net/forum?id=KNDUBpWV9b&referrer=%5Bthe%20profile%20of%20Youngwan%20Lee%5D(%2Fprofile%3Fid%3D~Youngwan_Lee1) KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image... As text-to-image (T2I) synthesis models increase in size, they demand higher inference costs due to the need for more expensive GPUs with larger memory, which... https://pocketcasts.com/podcast/data-engineering-podcast/c22cf980-b963-0134-10a8-25324e2a541d/from-data-models-to-mind-models-designing-ai-memory-at-scale/c4c5b3cf-fe80-4d71-99ce-2dd83fbfe456 From Data Models to Mind Models: Designing AI Memory at Scale - Pocket Casts Summary In this episode of the Data Engineering Podcast, Vasilije "Vas" Markovich, founder of Cognee, discusses building agentic memory, a crucial aspect of... from data https://huggingface.co/papers/2305.14322 Paper page - RET-LLM: Towards a General Read-Write Memory for Large Language Models Join the discussion on this paper page https://ideas.repec.org/p/tin/wpaper/20140037.html Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance Downloadable! 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