A new arXiv paper (2609.05448v1) formulates structured post-training pruning of vision and language transformers as a damage-aware multi-armed bandit problem under a fixed candidate-evaluation budget,…
Ben Houston's Three-LLM library runs LLMs entirely in the browser via Three.js and WebGPU, supporting GPT-2, Llama-style, Gemma 3, Phi, and Qwen3.5 architectures, with checkpoints from 3M to 1.3B para…
CrowdTensor, an Apache-2.0 open-source protocol for checkpointed volunteer model-training campaigns, completed a feasibility run using Qwen/Qwen2.5-7B-Instruct and openai/gsm8k, achieving an accuracy …
Researchers are advancing AI alignment by using Reinforcement Learning from AI Feedback (RLAIF) with Proximal Policy Optimization (PPO) to train language models, replacing expensive human annotations …
A new roadmap outlines the skills needed to become an LLM engineer by 2026, focusing on adapting and serving pretrained large language models rather than training from scratch. The five-step path cove…