Beagle replaces self‑attention with cross‑attention, using draft keys/values and target queries, and its Block‑Attention Training achieves inference speedups comparable to EAGLE‑v2. https://getnews.me/cross-attention-speculative-decoding-improves-llm-efficiency/ #speculativedecoding #crossattention

🚀#NewBlog #vllm🔥
𝐯𝐋𝐋𝐌 𝐟𝐨𝐫 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐏𝐚𝐫𝐭 𝟐:📖𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬 & 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧s
💎 What makes #vLLM the Rolls Royce of inference?
👉check it out: cloudthrill.ca/what-is-vllm...

✅ #PagedAttention #PrefixCaching #ChunkedPrefill
✅ #SpeculativeDecoding #FlashAttention #lmcache
✅ Tensor & #PipelineParallelism⚡

ViSpec adds vision‑aware speculative decoding to large VLMs, achieving a speedup beyond the prior 1.5× limit for real‑time multimodal AI. Read more: https://getnews.me/vispec-accelerates-vision-language-models-with-speculative-decoding/ #vispec #visionlanguage #speculativedecoding

XSpecMesh: Quality-Preserving Auto-Regressive Mesh Generation
Acceleration via Multi-Head Speculative Decoding
Dian Chen, Ming Li et al.
Paper
Details
#XSpecMesh #MeshGeneration #SpeculativeDecoding