NEW RESEARCH REPORT
How human data annotation and validation accelerate LLM and gen AI
How human data annotation and validation accelerate LLM and gen AI
Download the free white paper for trends, research, and your 2025 data roadmap
Your guide to data annotation and validation for generative AI
Generative AI and LLMs are revolutionizing industries, but many businesses are not yet ready to fully harness their potential. In this comprehensive white paper, Sigma AI brings together industry-leading research to explore the trends and strategic value of human data annotation and validation for building powerful and accurate AI models.
50% of companies buy/lease gen AI models from external vendors
29% implement “a mix of building, buying, and partnering”
Only 12% build in-house
Inside the report...
This white paper provides critical insights to ensure your gen AI projects are built on a foundation of high-quality, well-validated data:
Key statistics on the rapid rise of generative AI adoption across industries.
The gap between the desire for generative AI projects, and business readiness to execute effective AI projects.
How to approach your LLM or generative AI project, with expert guidance on human data annotation and validation.
How to make the most of your data, with strategies to optimize both broad-based LLMs and domain-specific AI models.
Practical steps to ensure data quality, improve model accuracy, and reduce time to deployment.
67% of businesses say generative AI is very important or extremely important to their business … yet 91% of respondents said their businesses are ill-equipped to support generative AI projects.
Companies that invest in AI data quality see a 20% improvement in model performance, directly impacting their bottom line.
