Results for “rl-alignment”
10 skills
More results
orchestra-research Miles Rl Training
Train large-scale MoE models with FP8/INT4 low-precision RL, speculative decoding, and train-inference alignment using the miles framework.
10.4k · bundle
orchestra-research Fine Tuning With Trl
Fine-tune and align language models using reinforcement learning with TRL, including SFT, DPO, PPO, GRPO, and reward model training.
10.4k · bundle
huggingface Trl Training
Train and fine-tune transformer language models using TRL (Transformers Reinforcement Learning) with support for SFT, DPO, GRPO, KTO, RLOO, and reward model training via CLI commands.
10.8k
orchestra-research Grpo Rl Training
Expert guidance for implementing GRPO/RL fine-tuning with TRL for reasoning and task-specific model training.
10.4k · bundle
orchestra-research Verl Rl Training
Train LLMs with reinforcement learning using verl (Volcano Engine RL), supporting RLHF, GRPO, PPO, and other algorithms for scalable post-training with flexible infrastructure backends.
10.4k · bundle
orchestra-research Torchforge Rl Training
Train reinforcement learning models using torchforge, Meta's PyTorch-native RL library for scalable, algorithm-focused experimentation with GRPO, DAPO, and custom loss functions.
10.4k · bundle
orchestra-research Long Context
Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques for processing long documents and implementing efficient positional encodings.
10.4k · bundle
qhjqhj00 L Eval
Benchmarks long-context language models across 20 sub-tasks spanning 3k–200k tokens, covering retrieval, reasoning, summarization, and instruction understanding, with exact-match accuracy as the primary metric.
3
orchestra-research Constitutional AI
Train AI models to be harmless through self-critique and AI feedback using a set of constitutional principles, without requiring human labels for harmful outputs.
10.4k