Why human skills are the secret ingredient in generative AI
Rethinking AI development — from code to human intelligence When most people think of artificial intelligence, they imagine complex algorithms and machine logic. But Sigma is proving that the most powerful AI systems begin with people. The company specializes in training individuals to perform generative AI data annotation — the behind-the-scenes work that fuels model […]
Feedback loops: Enhancing AI data quality with human expertise
How feedback loops in AI work In AI and machine learning, a feedback loop is a continuous, iterative process designed to improve the performance of an AI model and make it more reliable and accurate over time. During data annotation, a team of expert annotators will label, enriche, and expand on an initial dataset to […]
Gen AI in healthcare: Improving patient care and efficiency
Why healthcare is betting big on generative AI The power of gen AI to analyze vast datasets, from patient records and medical imaging to clinical trial results and research literature, is fueling its fast-growing adoption in healthcare. According to a McKinsey survey, 85% of healthcare organizations are either exploring or have already adopted gen AI […]
Enterprise AI software: Use cases from top tech companies
Gen AI is the new baseline for enterprise software Top-tier tech companies such as Microsoft, Salesforce, and Google are setting a new standard for AI enterprise software. Gen AI capabilities are becoming a must-have. Gartner projects that over 80% of software providers will embed gen AI into their products by 2026, driven by a demand […]
Preventing AI bias: How to ensure fairness in data annotation
What is bias in AI? AI bias occurs when an AI model generates results that systematically replicate erroneous and unfair assumptions, which are picked up by the algorithm during the machine learning process. For example, if an AI system designed to diagnose skin cancer from images is primarily trained with images of patients with fair […]
Golden datasets: Evaluating fine-tuned large language models
What is a golden dataset? A golden dataset is a curated collection of human-labeled data that serves as a benchmark for evaluating the performance of AI and ML models, particularly fine-tuned large language models. Because they are considered ground truth — the north star for correct answers — golden datasets must contain high-quality data that […]