The research industry’s relentless pursuit of accurate and actionable insights relies heavily on the agility and effectiveness of its operational backbone – the systems powering respondent screening and scheduling. For one of our valued clients, a longstanding leader in market research, their legacy software had become a significant bottleneck, hindering the collection of meaningful data […]
Market research relies heavily on the accuracy of data collected from research panels. These panels, comprising diverse groups of individuals, provide invaluable insights that shape business strategies, product developments, and marketing campaigns. However, a pervasive issue threatens the very foundation of this data-driven decision-making process: fraudulent respondents. Individuals attempting to manipulate outcomes by participating in […]
Abstract: Large Language Models (LLMs) often falter when integrated into business applications, struggling with adherence to predefined output formats and susceptibility to user-manipulated rule deviations. This paper presents a groundbreaking solution, employing synthetic data generation techniques to develop Instruction-Following Models (IFMs) that strictly adhere to hardcoded output formats. We demonstrate the efficacy of this approach […]