TRL

Hugging Face library for RLHF and fine-tuning

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Episodes

#6192: What Actually Happens When You Train a Model

Data in, model out — except the "data" is pairs, the split is the whole game, and one leaked speaker can fake your score.

Oct 21
#5944: Keeping the Rollout Engine Fed: Inside RLHF Pipelines

Most of an RLHF run is spent waiting on generation, not gradients. Here's how TRL, OpenRLHF, and verl actually differ.

Oct 14
#5937: The Fine-Tuning Career: Titles, Skills, and What It Pays

The job above the labeling layer exists — it just doesn't have one name. What it takes, what it pays, and how to sell it.

Oct 13
#5411: Fine-Tuning at 4-Bit vs 16-Bit: What It Really Costs

QLoRA cuts fine-tuning VRAM 15x and cost up to 85% — but you pay in training time, quality, and safety alignment.

Sep 21
#2177: Skip Fine-Tuning: Shape LLMs With Alignment Alone

Can you build a personalized LLM by skipping traditional fine-tuning and using only post-training alignment methods like DPO and GRPO? We break dow...

Apr 12