Exfluency Factor as an Expression of Hybrid Intelligence

Exfluency AI tackles common issues in AI, where human intervention hampers efficiency and scale.

The “garbage in, garbage out” problem arises from flawed data, harming AI results. Exfluency combines AI and human input, enhancing both algorithmic and human creativity. AI initially translates using various neural engines and past linguistic data. Humans refine content, with client corrections enhancing preferences. Enter the Exfluency Factor: AI Neural Translation + human expertise for better content translation.

The Exfluency Factor metric (currently 11) gauges adjustments for quality in AI-generated text (per 100 words).

Boosting efficiency and quality via AI-human synergy. AI evolves beyond human input, growing weekly and monthly. Client perks: accuracy, reliability, faster results, cost reduction (up to 50%).

Exfluency Hybrid Intelligence

Our AI engine overcomes common AI challenges, where human intervention often disrupts efficiency and scale. The “garbage in, garbage out” problem stems from faulty data inputs, degrading AI outcomes. We’ve tackled this issue at Exfluency.

Our hybrid intelligence workflow trains AI effectively.

Our approach fuses AI and human interaction, optimizing both algorithmic and human creativity. Initially, AI translates text using multiple neural machine translation engines and past linguistic data. Human linguists and experts refine the output, resulting in precise content. Client corrections enhance linguistic assets, making us more attuned to their preferences.

We have introduced the Exfluency Factor concept that combines AI Neural Machine Translation and human expertise to simplify and improve content translation.

The Exfluency Factor metric (currently 11) measures how many words out of 100 in an AI-generated text need modification for a quality translation. This approach aims to optimize efficiency and translation quality by using both AI and human intelligence.

Yet, our AI evolution isn’t solely human-driven. Week by week, month by month, AI sophistication grows. Client benefits include heightened accuracy, reliability, faster turnaround, and reduced costs (up to 50% less).