blending human and AI expertise
We help train and evaluate LLMs using general-to-niche knowledge and quality human judgement for customer service chatbots, content generation, sentiment analysis, and/or any generative AI use case
Supervised Fine-Tuning
prompt/answer pair generation and verification, prompt categorization, general and domain-specific knowledge, subject matter expertise, multiple languages, open QA, summarization, rewrite, chain-of-thought-reasoning, and other use cases
Reinforced Learning from Human Feedback (RLHF)
dataset/guideline creation, output rating and comparison, preference ranking of direct preference optimization (DPO) and/or proximal policy optimization (PPO) models
Evaluation
diverse human evaluation and benchmarking of model performance, output moderation, verification to counteract against LLM hallucinations