AIMABEC

Our data experts will review your model’s responses for accuracy, identify and highlight any errors, and rewrite responses to improve model performance, combining workflow automation with our human-in-the-loop approach to ensure speed and quality.

Our team can assess how well your Gen AI model understands, interprets, and executes instructions. We’ll help you identify where your model doesn’t comply, including why a response was selected. Any issues are highlighted and flagged, making it easier and more efficient to fine-tune.

Highly trained team of experts can help you improve the quality and alignment of model outputs through feedback loops, RLHF, and more. With domain expertise across multiple industries and functions, we can analyze and rank model responses, indicate the rationale behind each choice, and highlight any issues within the outputs.

With domain expertise across a variety of industries and functions, dedicated team can create new prompts and responses based on your model goals. We can also rewrite responses, tailored to model capabilities and limitations, to augment existing training data. Our team can also employ chain of thought to provide clear rationale for chosen outputs.

Our team of experts will describe the content of visual inputs, verify if the captions match, and rewrite captions as needed to retrain the model to reduce errors and hallucinations. Our proprietary platform makes sampling easy and our collaborative workflows help reduce subjectivity and ambiguity from project kickoff.

When real training data is too difficult or not cost effective to obtain, our team can create synthetic data sets to help train your model, using a human-in-the-loop approach to ensure the highest level of quality. Our team will define objectives for your data, including a specific domain or other required parameters, and test outputs for quality and accuracy by comparing them against outputs from authentic data.