20x Faster TRL Fine-tuning with RapidFire AI

Make LLM Fine-tuning 2x faster with Unsloth and 🤗 TRL

Accelerating PyTorch distributed fine-tuning with Intel technologies

HighTide: An Agent-Curated Open-Source VLSI Benchmark Suite

arXiv:2606. 04126v1 Announce Type: cross Abstract: We introduce HighTide, an evolving AI-assisted benchmark suite.

Parameter-Efficient Fine-Tuning using 🤗 PEFT

AOS: Adaptive Optimizer Switching via Training-State Signals for Faster Convergence and Better Generalization

arXiv:2608. 01997v1 Announce Type: new Abstract: Single-optimizer training is a poor fit for the distinct phases of deep network optimization: adaptive methods handle noisy early gradients well but overshoot flat minima, while SGD with momentum generalizes better in the late phase but converges slowly early on.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling

arXiv:2608. 10402v1 Announce Type: new Abstract: Reinforcement learning (RL) for large language models is moving toward multi-turn agentic workloads, where rollout tasks repeatedly pause for external environments, resume with growing contexts, and finish at highly variable times.