Top Tweets for #inferenceoptimization
๐ฐ DeepSeek releases DeepInfer, its production MoE inference engine
DeepSeekโs production inference engine is now open source, exposing FlashMLA kernels, MoE expert parallelism, and...
Read more โ https://t.co/fcNFLOWeNG
#AI #InferenceOptimization #LLM #ModelArchitecture
๐ฐ Jetson AGX Orin depth benchmark finds stereo 17x more accurate
Nine depth models benchmarked on Jetson AGX Orin show stereo at 0.70% AbsRel versus 12% monocular, and monocular...
Read more โ https://t.co/S9mvAVFvXt
#AI #AiHardware #ComputerVision #InferenceOptimization
๐ฐ Meta Releases Muse Glimmer 30B On-Device Agentic Model
Metaโs 30B agentic model runs multi-step tool-use and self-correction on a single consumer GPU at 4-bit, shipping under Apache 2.0 for...
Read more โ https://t.co/RCCLj9OXxj
#AI #AIAgents #InferenceOptimization #LLM
๐ฐ HPE brief argues enterprise AI costs should track outcomes not tokens
HPEโs sponsored MIT Tech Review piece argues AI production cost should be measured per completed task, not...
Read more โ https://t.co/RhowYoQJ1x
#AiHardware #AIIndustry #AITools #InferenceOptimization
๐ฐ TorchNeuron Simplifies Running Hugging Face Models on AWS Trainium
TorchNeuron streamlines deploying Hugging Face models on AWS Trainium, cutting integration work for teams targeting...
Read more โ https://t.co/r7IzcdmY4Z
#AI #AITools #DeepLearning #InferenceOptimization
๐ฐ DominoTree Adds Path-Conditional Scoring to Tree Speculative Decoding
Training-free method that conditions each tree node on earlier branch tokens, reaching 4.83x autoregressive throughput on...
Read more โ https://t.co/pc89IPDulF
#AIIndustry #InferenceOptimization #LLM
Next in AI: Issue #284 https://t.co/17SkydaVA3 via @LinkedIn #ArtificialIntelligence #AIResearch #AgenticAI #ScientificDiscovery #AIforScience #LLM #OpenSourceAI #QuantumComputing #SelfDrivingLabs #MachineLearning #InferenceOptimization #GenerativeAI
Hugging Face introduces Beam, a 501B-parameter open model with 23B active parameters per token #ArtificialIntelligence #AIResearch #AgenticAI #ScientificDiscovery #AIforScience #LLM #OpenSourceAI #QuantumComputing #SelfDrivingLabs #MachineLearning #InferenceOptimization
๐ฐ Data-Space Iteration Eliminates Timestep Grids in Few-Step Flow Models
Data-space iteration removes timestep schedule tuning from few-step flow matching distillation, matching...
Read more โ https://t.co/HKm5PVz3iT
#AI #ComputerVision #DeepLearning #InferenceOptimization
๐ง System One Models: A New Architectural Shift in AI? #SystemOne #ArtificialIntelligence #AI #LLMs #AIResearch #AIInfrastructure #AIAgents #MachineLearning #GenerativeAI #InferenceOptimization #AISystems
๐ฐ ME-VLM unifies embodied perception and agent reasoning in one model
ME-VLM merges embodied perception and agent reasoning into one model, cutting M100 edge inference latency by 53...
Read more โ https://t.co/gI32XdTflp
#AI #AIAgents #InferenceOptimization #Multimodal
๐ฐ GSM Achieves Length-Independent Decoder Attention via Shared State
GSM compresses context into a fixed shared state, decoupling decoder attention and KV-cache from sequence length while...
Read more โ https://t.co/WlajvnifFm
#AI #DeepLearning #InferenceOptimization #LLM
๐ฐ Meta Releases Muse Spark Open, 816B MoE on Apple Silicon
Metaโs 816B MoE model is the first in its class to run on desktop hardware, using two M5 Ultra Mac Studios with 1TB unified memory.
Read more โ https://t.co/rmjSCZVY2O
#AI #AIAgents #InferenceOptimization #LLM
๐ฐ VideoJev replaces autoregressive decoding with shared scoring head
Kuaishouโs VideoJev unifies temporal grounding and video QA under one scoring head, gaining 10.8 mIoU and cutting...
Read more โ https://t.co/02HpEr30dW
#AI #AIAgents #ComputerVision #InferenceOptimization
๐ฐ DIRECT allocates VLM test-time compute per subtask for embodied robots
DIRECT uses scene context to pick the cheapest VLM planner per subtask, improving success cost over fixed models...
Read more โ https://t.co/CsToZO1LhL
#AI #AIAgents #InferenceOptimization #Multimodal
๐ฐ Hybrid Gated Attention
Hybrid Gated Attention (HyGA), introduced in a recent preprint (arXiv:2608.11805v2), proposes composite gating across three distinct...
Read more โ https://t.co/oglZaNKUMU
#AI #DeepLearning #InferenceOptimization #LLM
๐ฐ Stateless Language Agents reach best scores at 84 percent fewer tokens
SLA stores research state in the harness instead of agent memory, beating baselines on kernel and SWE tasks...
Read more โ https://t.co/7g2fr1CjrZ
#AI #AIAgents #CodeGeneration #InferenceOptimization
๐ฅ Inference is the hidden cost killer in AI! Learn how to slash $5B losses with smarter optimization. Drop a comment, like, and join Newline's AI Accelerator now!
#AIInference #InferenceOptimization #MLops #CostEffectiveAI #AIAccelerator
Grateful to my mentors @nrsuri and @soumyabrata_pal, and @AdobeResearch for supporting this work.
Paper link coming soon. Any queries? Drop a comment ๐
#ACL2026 #LLM #ReasoningAI #EfficientAI #SpeculativeDecoding #InferenceOptimization #AdobeResearch
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