#speculativedecoding — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #speculativedecoding, aggregated by home.social.
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Oh, wow, another groundbreaking collaboration 🦅🔧 from the EAGLE 3.1 team, #vLLM, and #TorchSpec, promising to revolutionize... speculative decoding! 🎉💡 Because who doesn't love to speculate while decoding? 🙄 Can't wait to see what this powerhouse trio will "speculate" on next! 🚀🔍
https://vllm.ai/blog/2026-05-26-eagle-3-1 #EAGLE3.1 #SpeculativeDecoding #TechInnovation #HackerNews #ngated -
RT @danielhanchen: Qwen3.6 MTP Unsloth GGUFs laufen jetzt 1,8x schneller, ein Anstieg von 1,4x vor nur zwei Tagen!
mehr auf Arint.info
#GGUF #llamacpp #MTP #Qwen3 #SpeculativeDecoding #Unsloth #arint_info
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RT @danielhanchen: Qwen3.6 MTP Unsloth GGUFs laufen jetzt 1,8x schneller, eine Steigerung von 1,4x vor nur zwei Tagen!
mehr auf Arint.info
#GGUF #llamacpp #MTP #Qwen3 #SpeculativeDecoding #Unsloth #arint_info
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New research shows how speculative decoding trains a draft model to guess tokens, then verifies them with the main LLM—cutting compute and boosting token generation speed. The approach promises big gains in model efficiency and opens doors for open‑source AI training. Dive into the details! #SpeculativeDecoding #TokenGeneration #ModelEfficiency #OpenSourceAI
🔗 https://aidailypost.com/news/speculative-decoding-trains-drafter-guess-verify-llm-outputs
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Researchers have discovered a clever trick: by embedding a mask token directly into the weight matrix, they can bypass the costly embedding lookup and generate up to three times faster token streams. The method works with parallel computation and speculative decoding, promising big gains for open‑source LLMs. Read on to see how ConfAdapt powers this speed‑up. #LLMinference #SpeculativeDecoding #MultiTokenPrediction #ModelAcceleration
🔗 https://aidailypost.com/news/researchers-embed-mask-token-llm-weights-achieve-3-faster-inference
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Researchers have discovered a clever trick: by embedding a mask token directly into the weight matrix, they can bypass the costly embedding lookup and generate up to three times faster token streams. The method works with parallel computation and speculative decoding, promising big gains for open‑source LLMs. Read on to see how ConfAdapt powers this speed‑up. #LLMinference #SpeculativeDecoding #MultiTokenPrediction #ModelAcceleration
🔗 https://aidailypost.com/news/researchers-embed-mask-token-llm-weights-achieve-3-faster-inference
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Researchers have discovered a clever trick: by embedding a mask token directly into the weight matrix, they can bypass the costly embedding lookup and generate up to three times faster token streams. The method works with parallel computation and speculative decoding, promising big gains for open‑source LLMs. Read on to see how ConfAdapt powers this speed‑up. #LLMinference #SpeculativeDecoding #MultiTokenPrediction #ModelAcceleration
🔗 https://aidailypost.com/news/researchers-embed-mask-token-llm-weights-achieve-3-faster-inference
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The Hidden Engineering Behind Fast AI: How LLM Inference Actually Works
https://techlife.blog/posts/llm-inference-optimization/
#LLM #Inference #PagedAttention #vLLM #FlashAttention #SpeculativeDecoding #MachineLearning #GPUOptimization #KVCache
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The Hidden Engineering Behind Fast AI: How LLM Inference Actually Works
https://techlife.blog/posts/llm-inference-optimization/
#LLM #Inference #PagedAttention #vLLM #FlashAttention #SpeculativeDecoding #MachineLearning #GPUOptimization #KVCache
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The Hidden Engineering Behind Fast AI: How LLM Inference Actually Works
https://techlife.blog/posts/llm-inference-optimization/
#LLM #Inference #PagedAttention #vLLM #FlashAttention #SpeculativeDecoding #MachineLearning #GPUOptimization #KVCache
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The Hidden Engineering Behind Fast AI: How LLM Inference Actually Works
https://techlife.blog/posts/llm-inference-optimization/
#LLM #Inference #PagedAttention #vLLM #FlashAttention #SpeculativeDecoding #MachineLearning #GPUOptimization #KVCache
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The Hidden Engineering Behind Fast AI: How LLM Inference Actually Works
https://techlife.blog/posts/llm-inference-optimization/
#LLM #Inference #PagedAttention #vLLM #FlashAttention #SpeculativeDecoding #MachineLearning #GPUOptimization #KVCache
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DFlash: Hệ thống giải mã suy đoán theo kiểu khuếch tán, tạo block token cùng lúc thay vì từng token. Dùng draft model nhẹ để tạo block, kiểm nghiệm bằng LLM đích – tăng độ chấp nhận và hiệu suất, đặc biệt với văn cảnh dài & batch lớn. Hỗ trợ Qwen3-4B/8B/30B, tích hợp với SGLang, hỗ trợ streaming và sinh code dài. Hiệu quả cao trong sinh code và đầu ra cấu trúc. Code, checkpoint đã công bố, hướng dẫn huấn luyện sắp ra mắt. #DFlash #LLM #SpeculativeDecoding #Qwen3 #SGLang #AI #MachineLearning #Trí
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DFlash: Hệ thống giải mã giả định theo phong cách khuếch tán, tạo khối token cùng lúc thay vì từng token. Dựa trên Qwen3 (4B, 8B, Coder-30B) và tích hợp với SGLang, cho tốc độ nhanh hơn, độ chấp nhận cao hơn – lý tưởng cho sinh mã và đầu ra cấu trúc. Hỗ trợ streaming, batch lớn. Mã nguồn đã mở, hướng dẫn train sắp ra mắt. #DFlash #LLM #AI #SpeculativeDecoding #Qwen3 #SGLang #TríTuệNhânTạo #MôHìnhNgônNgữ #GiảiMãKhối #KhuếchTán
https://www.reddit.com/r/LocalLLaMA/comments/1qkmzqv/dflash_diffusion