LLM Factuality – Make Your AI Trustworthy and Accurate
When your AI speaks, your users listen. That’s why factuality in Large Language Models (LLMs) is not just important—it’s essential. Factuality ensures that your model’s responses are not only fluent but truthful, accurate, and grounded in real-world data. Whether you’re building for healthcare, finance, education, or any domain that values truth (and they all should!), our solutions help elevate the reliability of your AI systems.
- Dataset Curation & Filtering
- Explicit Fact Checking via External Databases
- Knowledge Grounding in Pretraining
- Heuristic-Based Factuality Checking
Why Is Factuality in LLMs Important?
- Reduce misinformation risks
- Improve credibility in high-stakes applications
- Build user trust with fact-based answers
- Enhance the performance of knowledge-intensive tasks
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