Deep Learning Compiler, AutoTVM, Tensor IR, LLVM

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wwes4/AI_Accel_1.5x: AI acceleration framework for ~1.5x speedups in mid-sized models via tension-based pruning. Built utilizing xAI's Grok.
github.com·1d·
Discuss: Hacker News
🦀Rayon
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Benchmarking and Enhancing VLM for Compressed Image Understanding
arxiv.org·2d
🗜️Roaring Bitmaps
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How to Train Ultralytics YOLOv8 models on Your Custom Dataset | 196 classes
reddit.com·6h·
Discuss: r/programming
🔥PyTorch
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ML Systems Textbook
mlsysbook.ai·2d
👁️Computer Vision
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A Validated Semantics for LLVM IR
sf.snu.ac.kr·12h
🏗️MLIR
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Qwen2 Technical Report
paperium.net·1d·
Discuss: DEV
💬Prompt Engineering
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Courses with certificates
codefinity.com·17h
🧮Embeddings
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What Deep Learning Theory Teaches Us About AI Memory
dev.to·1d·
Discuss: DEV
🔄Memory Ordering
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Diffusion LLM vs Autoregressive LLM
reddit.com·1d·
Discuss: r/LLM
📉Time Series
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Advancing quantum imaging through learning theory
nature.com·12h
⚛️Quantum Computing
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is this legit? Supposedly LangVAE straps a VAE + compression algorithm onto any LLM image, reduces resource requirements by up to...
arxiv.org·3d·
Discuss: r/LocalLLaMA
📱Edge AI
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Training a Model on Multiple GPUs with Data Parallelism
machinelearningmastery.com·1d
🔥PyTorch
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Yann LeCun’s VL-JEPA: The breakthrough that gives AI a "Mind's Eye" (instead of just a mouth).
hisohan.substack.com·6h·
Discuss: Substack
💬Prompt Engineering
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How Machines See: Inside Vision Models and Visual Understanding APIs
dev.to·1d·
Discuss: DEV
👁️Computer Vision
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Forget AI note summaries, this is where NotebookLM actually shines
xda-developers.com·1h
🗂️Obsidian
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(292) Deep Learning Systems Course
youtube.com·2d
🔬Deep Learning
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The Prism Hypothesis: Harmonizing Semantic and Pixel Representations via Unified Autoencoding
arxiv.org·1d
🎨Chroma
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Any useful resources for improving the quality of the vscode projects?
addyo.substack.com·6h·
Discuss: r/vscode
💬Prompt Engineering
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Speed, supply chains, and strategy converge in Nvidia's $20 billion quasi-acquisition of Groq
the-decoder.com
·8h
Hardware Acceleration
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