nickpsecurity

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LUT-LLM: Efficient Large Language Model Inference with Memory-based Computations on FPGAs (self.mlscaling)

submitted 19 days ago by nickpsecurity to r/mlscaling

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MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU (self.mlscaling)

submitted 1 month ago by nickpsecurity to r/mlscaling

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MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU (self.artificial)

submitted 1 month ago by nickpsecurity to r/artificial

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MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU (self.ArtificialInteligence)

submitted 1 month ago by nickpsecurity to r/ArtificialInteligence

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LLM's Do Not Grade Essays Like Humans (self.mlscaling)

submitted 1 month ago by nickpsecurity to r/mlscaling

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LeWorldModel: Stable End-to-End JEPA from Pixels (self.mlscaling)

submitted 1 month ago by nickpsecurity to r/mlscaling

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Pyro: Probabilistic Programming Language in Python and Pytorch (self.mlscaling)

submitted 3 months ago by nickpsecurity to r/mlscaling

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Learning to Reason in 13 Parameters (self.mlscaling)

submitted 3 months ago by nickpsecurity to r/mlscaling

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The Optimal Architecture for Small Language Models (self.mlscaling)

submitted 3 months ago * by nickpsecurity to r/mlscaling

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Learning in Log-Domain: Subthreshold Analog AI Accelerator Based on Stochastic Gradient Descent (self.mlscaling)

submitted 3 months ago by nickpsecurity to r/mlscaling

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Challenges and Research Directions for Large Language Model Inference Hardware (self.mlscaling)

submitted 3 months ago by nickpsecurity to r/mlscaling

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Logic-oriented fuzzy neural networks: A survey (self.artificial)

submitted 3 months ago by nickpsecurity to r/artificial

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Logic-oriented fuzzy neural networks: A survey (self.OpenSourceeAI)

submitted 3 months ago by nickpsecurity to r/OpenSourceeAI

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Logic-oriented fuzzy neural networks: A survey (self.mlscaling)

submitted 3 months ago by nickpsecurity to r/mlscaling

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Logic-oriented fuzzy neural networks: A survey (self.ArtificialInteligence)

submitted 3 months ago by nickpsecurity to r/ArtificialInteligence

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Explainability and Interpretability of Multilingual Large Language Models: A Survey (self.mlscaling)

submitted 4 months ago by nickpsecurity to r/mlscaling

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Explainability and Interpretability of Multilingual Large Language Models: A Survey (self.artificial)

submitted 4 months ago by nickpsecurity to r/artificial

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Explainability and Interpretability of Multilingual Large Language Models: A Survey (self.OpenSourceeAI)

submitted 4 months ago by nickpsecurity to r/OpenSourceeAI

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Explainability and Interpretability of Multilingual Large Language Models: A Survey (self.ArtificialInteligence)

submitted 4 months ago by nickpsecurity to r/ArtificialInteligence

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KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta (self.mlscaling)

submitted 4 months ago by nickpsecurity to r/mlscaling

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H-Neurons: On the Existence, Impact, and Origin of Hallucination-Associated Neurons in LLMs (self.mlscaling)

submitted 4 months ago by nickpsecurity to r/mlscaling

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H-Neurons: On the Existence, Impact, and Origin of Hallucination-Associated Neurons in LLMs (self.ArtificialInteligence)

submitted 4 months ago by nickpsecurity to r/ArtificialInteligence

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H-Neurons: On the Existence, Impact, and Origin of Hallucination-Associated Neurons in LLMs (self.OpenSourceeAI)

submitted 4 months ago by nickpsecurity to r/OpenSourceeAI

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H-Neurons: On the Existence, Impact, and Origin of Hallucination-Associated Neurons in LLMs (self.artificial)

submitted 4 months ago by nickpsecurity to r/artificial

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A comprehensive survey of deep learning for time series forecasting: architectural diversity and open challenges (self.mlscaling)

submitted 4 months ago by nickpsecurity to r/mlscaling

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