🧠 Deep Learning - gautam6599123 · Scour

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU 🗣️Large Language Models

arxiv.org·2d·Hacker News, r/artificial

DeepFocus-BP: Error-Aware Adaptive Backpropagation via Dynamic Alpha-Beta Routing (Achieving 66% FLOPs Reduction with Improved Accuracy) 🧠Neural Networks

zenodo.org·6d·Hacker News

milanm/AutoGrad-Engine: A complete GPT language model (training and inference) in ~600 lines of pure C#, zero dependencies 🗣️Large Language Models

github.com·20h·Hacker News

Low-Rank Key Value Attention: Reducing KV Cache Memory and Maintaining Head Diversity 🤖Transformers

fin.ai·18h·Hacker News

Zero-Shot Alignment: Harm Detection via Incongruent Attention Mechanisms ∂Automatic Differentiation

lesswrong.com·1d

Inference Arena – new benchmark of local inference and training 🗣️Large Language Models

kvark.github.io·4d·Hacker News

Beyond ReconVLA: Annotation-Free Visual Grounding via Language-Attention Masked Reconstruction 🤖AI

hackernoon.com·2d

PiTorch: ML on Baremetal Raspberry Pis 🔥PyTorch

masonjwang.com·1d·Hacker News

AI breakthrough cuts energy use by 100x while boosting accuracy 🧠Neural Networks

sciencedaily.com·4d·Hacker News, r/singularity

Continual learning for AI agents ∂Automatic Differentiation

blog.langchain.com·4d·Hacker News

Agent Labs: Workload-Harness Fit 🗣️Large Language Models

akashbajwa.co·6d·Hacker News

Towards Knowledgeable Deep Research: Framework and Benchmark ∂Automatic Differentiation

arxiv.org·7h

Spilling the Neural Tea: A Journey Down the Side-Channel 🧠Neural Networks

sigarch.org·3d·Hacker News

LLM inference engine from scratch in C++ 🗣️Large Language Models

anirudhsathiya.com·4d·Hacker News

SPUTNIKAI/LeechTransformer: Leech-Lila: A Geometric Attention Transformer(Language Model) with the Leech Lattice Attention 🗣️Large Language Models

github.com·1d·Hacker News

Internal noise in deep neural networks: interplay of depth, neuron number, and noise injection step 🧠Neural Networks

arxiv.org·7h

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training 🧠Neural Networks

arxiv.org·7h

Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems 📊Optimization

arxiv.org·7h

Stochastic Gradient Descent in the Saddle-to-Saddle Regime of Deep Linear Networks 📊Optimization

arxiv.org·1d

DeepFocus-BP: Error-Aware Adaptive Backpropagation via Dynamic Alpha-Beta Routing (Achieving 66% FLOPs Reduction with Improved Accuracy) - SOTA NLP Confirmed v3. (Resnet FAIL) 🧠Neural Networks

zenodo.org·5d·Hacker News

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