Fine tune your LLMs with the highest-quality training data

Reinforcement Learning from Human Feedback (RLHF)

Combine human expertise and reinforcement learning algorithms to enhance the learning process of your models. Instead of relying on trial and error, the algorithms receive feedback and guidance from human trainers, which accelerates and enhances the training process.

• Multiple choice

  Select the most appropriate feedback to the response from a list of predefined options.

• Rating scale

  Rate the accuracy and quality of a response using a numerical scale.

• Binary rating

  Provide feedback by using the thumbs up or thumbs down buttons to indicate approval or disapproval.

Instruction fine-tuning

Instant feedback loop

Question answering

Image captioning

LLM comparison and evaluation

Evaluate the performance of your model on benchmark tasks using predefined metrics and compare its output against human-generated data.