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Scoured 4774 posts in 17.6 ms
Google Gemini Tutorial for Beginners A Complete Introduction  ✨Generative AI
acte.in·2d
OpenAgentic-Labs/echoform-ghost-memory: Effectively unlimited long-term memory for any LLM - zero context tokens, zero weight updates, cryptographic forgetting certificate.  📝LLMs
github.com·1d·Hacker News
ViT Overfits Small Datasets: When CNNs Win by 18% mAP  👁️Computer Vision
tildalice.io·5d
Convergence rates for gradient descent in the training of overparameterized artificial neural networks with piecewise affine activation  🔥PyTorch
arxiv.org·1d
Exploring Career Paths in Artificial Intelligence for Freshers  🤖AI
acte.in·1d
thereisnospoon/ml-primer.md at main · dreddnafious/thereisnospoon  🧠Machine Learning
github.com·1w
Training Neural Networks with Optimal Double-Bayesian Learning  🧠Machine Learning
arxiv.org·1d
sapientinc/HRM-Text: HRM-Text is a 1B text generation model based on the HRM architecture, strengthened by task completion and latent space reasoning.  ⚙️MLOps
github.com·1d·r/singularity
Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent  🧠Machine Learning
arxiv.org·2d
PyTorch, rewritten from scratch in pure Rust  🔥PyTorch
github.com·6d·Hacker News
From Simple to Complex: Curriculum-Guided Physics-Informed Neural Networks via Gaussian Mixture Models  🧠Machine Learning
arxiv.org·1d
(VBS-NN) ML – 512k context length pre-training on a 12GB GPU  ⚙️MLOps
github.com·3d·Hacker News
Claude Tutorial for Beginners Learn with Real Use Cases  ✨Generative AI
acte.in·2d
Canonical Regularisation of Wide Feature-Learning Neural Networks  🔥PyTorch
arxiv.org·2d
noahgolmant/pytorch-hessian-eigenthings: Efficient PyTorch Hessian eigendecomposition tools!  🔥PyTorch
github.com·6d·Hacker News
How does feature learning reshape the function space?  🧠Machine Learning
arxiv.org·2d
MegaTrain Full Precision Training of 100B+ Parameter LLMs on a Single GPU  ⚙️MLOps
github.com·3d·Hacker News
Banded non-Hermitian random matrices, neural networks, and eigenvalue degeneracies  🧠Neuromorphic Computing
arxiv.org·1d
Show HN: GPT-2 inference in pure C#, 0 bytes allocated per token  ⚙️MLOps
github.com·3d·Hacker News
Implicit Bias of Mirror Flow in Homogeneous Neural Networks: Sparse and Dense Feature Learning  🧠Neuromorphic Computing
arxiv.org·1d

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