training▌

Training machine learning models involves selecting appropriate algorithms, preparing data, and optimizing model parameters to achieve strong predictive performance.

SAELens is the primary library for training and analyzing Sparse Autoencoders (SAEs) - a technique for decomposing polysemantic neural network activations into sparse, interpretable features. Based on Anthropic's groundbreaking research on monosemanticity.

Megatron-Core trains LLMs from 2B to 462B parameters with up to 47% Model FLOP Utilization on H100 GPUs through advanced parallelism strategies.

Use MoE Training when you need to:

Skill by ara.so — Daily 2026 Skills collection.

Skill by ara.so — Daily 2026 Skills collection.

OpenRLHF is a Ray-based RLHF framework optimized for distributed training with vLLM inference acceleration.

SimPO is a reference-free preference optimization method that outperforms DPO without needing a reference model.

Expert-level guidance for implementing Group Relative Policy Optimization (GRPO) using the Transformer Reinforcement Learning (TRL) library. This skill provides battle-tested patterns, critical insights, and production-ready workflows for fine-tuning language models with custom reward functions.