How Does Particle Prevent AI Hallucinations?

by Particle News

The BBC reports that half of chatbot answers are wrong.

Particle prevents AI hallucinations through three main methods: multi-step verification processes using the best available LLMs, human oversight with dedicated content review teams, and strict accuracy protocols. The result is less than 1% error rate.

Particle's 3-Way Approach to Prevent Hallucinations in News Summaries

1. Quality Models: Particle News selects the most accurate AI models available, even if they are more expensive, because accuracy is non-negotiable in news.
2. Verification: Unlike generic chatbots that try to answer news questions from scratch, often guessing when context is thin, Particle News summaries never start from a blank slate. Each one is powered by precomputed, high-quality context that our systems have already gathered. Particle News select timely, relevant, and diverse sources to keep coverage accurate and current. Then, every summary then goes through a “Reality Check”: a verification process that checks each claim for faithfulness to its original sources. 
3. Transparency: You can see the receipts. Tap any story in Particle News and read the original reporting. No made-up URLs. The result: Particle News reduces the error rate from about 1 in 100 to 1 in 10,000.

Particle News provides trustworthy news summaries from high quality news sources.

Source: Particle News