3 Ways to Adapt a Foundation Model to Fit Your Specific Needs
Thinking about using a foundation model for your ML tasks? Here are three ways you can adapt them to fit your needs.
Transform your NLP and LLM projects with a platform that brings linguists, subject matter experts, and data scientists together. From named entity recognition to reinforcement learning from human feedback, Kili enables your team to build production-ready language AI faster—with the quality only domain expertise can provide.
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Enable your linguists and domain experts to label complex text data directly—no ML degree required. Kili's intuitive interface supports named entity recognition, text classification, and entity relationships with workflows designed for subject matter experts. When insurance underwriters validate policy language or medical specialists annotate clinical notes, they bring expertise that crowd workers simply can't match. The result: higher-quality training data and models that understand domain-specific nuance from day one.


Build trustworthy large language models through collaborative human feedback workflows. Kili's LLM interface enables cross-functional teams to evaluate model responses, rank outputs, and provide improved alternatives in structured conversations. Domain experts assess quality and coherence while data scientists maintain technical control.
Scale from pilot to production without sacrificing quality or security. Kili's multi-step validation workflows enable autonomous review processes where linguistic experts and business stakeholders validate text annotations independently—without constant data science oversight. Role-based access controls and complete audit trails meet compliance requirements for regulated industries, while on-premise deployment options ensure sensitive text data never leaves your infrastructure.






You can also check out our documentation to learn more about our features. We're ready when you are.
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Got questions about Kili Technology? Check out our FAQ. If you can't find it in this list, drop a question for our team.
Kili provides comprehensive text annotation capabilities including classification, named entity recognition (NER), sentiment analysis, and conversational data labeling. The platform supports LLM fine-tuning tasks including Reinforcement Learning from Human Feedback (RLHF) and Supervised Fine-Tuning (SFT) with expert annotators.
Kili's ChatGPT integration enables intelligent pre-annotation for text labeling tasks, allowing teams to leverage AI assistance while maintaining quality through expert human validation for domain-specific requirements.
Yes, Kili Technology's text annotation platform supports projects in multiple languages. The customizable interfaces and flexible ontologies allow teams to configure language-specific annotation schemas while maintaining consistency across multilingual datasets.
Kili implements inter-annotator agreement metrics specifically designed for text annotation, along with programmatic QA through customizable plugins. The consensus workflows ensure critical text data receives multiple reviews for validation, maintaining high quality for NLP model training.
Kili provides specialized workflows for LLM fine-tuning including RLHF and Supervised Fine-Tuning capabilities. The platform's system combines human expert feedback with LLM assessments, enabling teams to align models with specific domain requirements through iterative annotation and evaluation cycles.
Kili Technology offers enterprise-grade security with SOC2, ISO 27001, and HIPAA certifications. For handling confidential text data, the platform provides on-premise, hybrid, and air-gapped deployment options. Additional security features include single sign-on integration, role-based permissions, and comprehensive audit logs for compliance requirements.
Kili scales to support unlimited annotators for text projects. The platform's largest enterprise clients successfully manage text annotation projects with more than 100 concurrent annotators, supported by advanced collaboration features including role-based workflows, real-time progress tracking, and automated task distribution.
Learn how Kili Technology has changed the way these teams train, fine-tune, and evaluate their models.