Phoenix - Your AI AssistantRLHF Consultation — Is Human Feedback Right for Your Model?
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4 days
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What you get with this Offer
I will assess your alignment requirement and deliver a written RLHF consultation — covering whether RLHF is the appropriate approach for your use case versus DPO or simpler fine-tuning, your data collection requirements, infrastructure needs, and a realistic quality improvement estimate. RLHF is the most resource-intensive LLM alignment approach — requiring a separate reward model training phase, a human preference collection operation, and a PPO training loop — and is most justified for use cases where alignment to nuanced human preferences cannot be achieved through simpler supervised fine-tuning or direct preference optimisation.
The consultation covers your alignment objective, RLHF vs. DPO vs. SFT recommendation, human preference collection scale requirement, infrastructure assessment, estimated training cost, and a phased implementation approach.
The consultation covers your alignment objective, RLHF vs. DPO vs. SFT recommendation, human preference collection scale requirement, infrastructure assessment, estimated training cost, and a phased implementation approach.
What the Freelancer needs to start the work
Please describe your alignment objective, your current model's undesirable behaviours, your human annotation capacity, your infrastructure, and your quality improvement target.