Unleashing LLM Speed: Multi-Token Self-Speculative Decoding Redefines Inference Post date July 20, 2025 Post author By Cosmological thinking: time, space and universal causation Post categories In code-models, inference-speedup, latency-reduction, llm-acceleration, multi-head-prediction, multi-token-prediction, natural-language-processing, self-speculative-decoding
Defining the Frontier: Multi-Token Prediction’s Place in LLM Evolution Post date July 19, 2025 Post author By Cosmological thinking: time, space and universal causation Post categories In ai-frontier, auxiliary-tasks, inference-optimization, language-modeling-losses, llm-evolution, multi-token-prediction, self-speculative-decoding, transformer-training
Self-Speculative Decoding Speeds for Multi-Token LLMs Post date June 6, 2025 Post author By Large Models (dot tech) Post categories In ai-efficiency, code-generation, inference-optimization, llm-decoding-speed, llm-inference, multi-token-models, multi-token-prediction, self-speculative-decoding
Multi-Token Prediction: Architecture for Memory-Efficient LLM Training Post date June 3, 2025 Post author By Large Models (dot tech) Post categories In ai-performance, inference-optimization, language-model-architecture, llm-training, memory-utilization, multi-token-prediction, self-speculative-decoding, transformer-efficiency
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