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Embarrassingly simple self-distillation improves code generation

~ai.algorithms ~ai.llms ~research.papers

> Abstract:Can a large language model (LLM) improve at code generation using… more

arxiv.org Apr 4, 2026

Conditional memory via scalable lookup: a new axis of sparsity for large language models

~ai.algorithms ~research.papers

> While Mixture-of-Experts (MoE) scales capacity via conditional computation,… more

arxiv.org Mar 28, 2026

From-scratch PyTorch implementation of Google's TurboQuant

~ai.algorithms ~ai.llms ~dev.source python

> A from-scratch PyTorch implementation of TurboQuant (ICLR 2026), Google's… more

github.com Mar 27, 2026

NanoGPT Slowrun: 10x Data Efficiency with Infinite Compute

~ai.algorithms.gpt ~ai.llms ~research

> We've achieved 10x data efficiency with NanoGPT Slowrun within a few weeks.… more

qlabs.sh Mar 19, 2026

GPT in 200 lines

~ai.algorithms.gpt ~ai.llms ~dev.source author.andrej karpathy python

> This is a brief guide to my new art project microgpt, a single file of 200… more

karpathy.github.io Mar 1, 2026 Tildes

RLHF Book by Nathan Lambert

~ai.algorithms.rlhf ~ai.llms ~research machine learning

> A short introduction to RLHF and post-training focused on language models. more

rlhfbook.com Feb 7, 2026