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⚡ Inference-time compute flexibility is becoming central in AI. But outside of language models, many architectures still lock you into a fixed compute budget at inference. Can we change that? Our… | Payel Mukhopadhyay
1 个月前
linkedin.com
Deploy a model with vLLM and Llama Stack on MCP servers | Intel Devs
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3 个月之前
linkedin.com
What’s the Difference Between Deep Learning Training and Inference?
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AI Training vs. Inference: Understanding the Two Phases
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1 个月前
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Future of Work Training Institute
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From Training Titans to Inference for Billions: Open Infrastructure for the Next Era of AI
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6 天之前
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Open Compute Project
26:53
The Reasoning Show #1012 - Three Thoughts from NVIDIA GTC 2026
1 个月前
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The Reasoning Show
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Indian startups to launch AI data centres in space
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1 周前
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Filter Coffee
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Training vs Inference: The $1 Billion Difference in AI
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The AI Century
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Two Man Stack. One Open Door. What Happens Next. 🔥 #Airsoft #GOATAirsoft #CQB
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Keynote: Co-Evolution: How the Open Source Intelligence Stack Compounds - Mark Collier
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Beyond the cloud monolith: Building transparent and distributed AI with open source
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Episode 42: OpenClaw v2026.4.26 and the AI Inference Stack
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Training vs Inference — The Battle That Will Define AI's Future
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Scaling AI Inference: Context Memory Offload
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Seagate EPS Up 115% — But Is the 'Structural Shift' Real?
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Inference Got Cheap. Renegotiate Everything.
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🤖 StrikeRobot × Venice AI – A Partnership That Changes the Robotics GameVenice AI is now the official inference API backend for the entire StrikeRobot ecosystem. Here's what's coming:SR Agentic will use Venice as its VLM reasoning engine - handling vision-language tasks, complex environment analysis, and natural reporting, while the on-device edge loop stays blazing fast.SR Platform gets a major upgrade with Text-to-CAD & Image-to-CAD, plus Microsoft's TRELLIS.2 integration to generate 3D envir
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1 周前
x.com
Heart ✦
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OpenAI is open-sourcing a thin coordination layer to make their closed-source Codex more useful.But everyone using their tool is running more inference, paying OpenAI per token, and learning workflows that assume a Codex-shaped backend underneath.This is exactly the playbook we want to disrupt. The entire stack should stay open, so the intelligence underneath isn’t controlled by any single entity.
已浏览 106.8万 次
2 周前
x.com
Sentient Foundation
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Inference is the New Oil10x cheaper inference cost BUT usage increases by 30xThe rise of AI agent harnesses (OpenClaw, Hermes) drastically increased the inference usage — billions of tokens burnt everyday (and not stopping anytime soon)Anthropic banned the usage of harnesses with Claude subscription, saving compute/inference for enterprise clients + for training Mythos (the next frontier model)Open-weight labs experience much higher demand due to cheap/efficient inference, optimized for long run
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1 个月前
x.com
0xJeff
Overshoot AI Inference Stack Boosts Real-Time Vision Processing | Matthew Hartman posted on the topic | LinkedIn
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3 个月之前
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12:20
#4.4 OpenAI Gym using Tensorflow (强化学习 Reinforcement Learning 教学)
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Morvan Zhou
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【人工智能】OpenAI o1模型背后的技术 - 后训练阶段的缩放法则 - 测试时计算 - 慢思考 - 隐式思维链CoT - STaR - Critic模型 -
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14. Causal Inference, Part 1
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