Post-training

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Scoured 157 posts in 9.3 ms

Emergence of Context Characteristics Sensitivity in Large Language Models

 🌐World Models  Content type: Academic
arxiv.org·

Reasoning RL in 2026: GRPO, DPO, RLVR, Agentic PO & Beyond

 🎮RL
turingpost.com·

Sequent: scale and automation for higher confidence in alignment

 🧠AI
lesswrong.com·

Why LLMs (still) lack taste

 💬LLMs

The week AI infrastructure crossed from a technology story to a financial one

 💬LLMs  Content type: News
mlwhiz.com·

Deep Learning Weekly: Issue 458

 🤖AI Agents

Introducing North Mini Code: Cohere’s First Model For Developers

 🌐World Models  Content type: Blog

KJLdefeated/RL.cu: RLVR training for LLM in CUDA/C++

 📊ML  Content type: Code
github.com··Hacker News
Less-relevant results

Vibe Diaries: Training Nanochat

 📊ML
vibediary.dev··Hacker News

Researchers trained an open source AI search agent, Harness-1, that outperforms GPT-5.4 on recalling relevant information

 🌐World Models

Compatibility-Aware Dynamic Fine-Tuning for Large Language Models

 🎮RL  Content type: Academic
arxiv.org·

DiffusionGemma: The Developer Guide- Google Developers Blog

 💬LLMs  Content type: Blog

NVIDIA Nemotron 3 Ultra Powers Faster, More Efficient Reasoning for Long-Running Agents

 🌐World Models  Content type: Blog

GPT-2: Too Dangerous To Release (2019)

 💬LLMs  Content type: Blog

SFT & the Locus Awards

 💬LLMs
sfintranslation.com·

Tracing Eval-Awareness Emergence Through Training of OLMo 3

 🏋️Pretraining
lesswrong.com·

I built a machine that turns AI papers into interactive explainers

 🎮RL  Content type: Blog
blog.skz.dev·

Architecture-Aware Reinforcement Learning Makes Sliding-Window Attention Competitive in Math Reasoning

 🏋️Pretraining  Content type: Academic
arxiv.org·

SLUUG Talk: Demystifying Large Language Models on Linux

 🧠AI  Content type: Code
github.com··DEV

AI2's Nathan Lambert says Nvidia's multi-teacher on-policy distillation for Nemotron 3 Ultra is the post-training industry standard

 💬LLMs
digg.com·

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