Flipboard

MAY 30, 2025

Non-conversational applications offer unique advantages such as higher latency tolerance, batch processing, and caching, but their autonomous nature requires stronger guardrails and exhaustive quality assurance compared to conversational applications, which benefit from real-time user feedback and supervision. Puneet Sahni is Sr.

AI 157

AI AI AWS ML 157

Becoming Human

MAY 19, 2023

On the other hand, conversational AI that acts as a personal assistant can help with data input without the requirement of typing everything manually. However, it’s still learning as there are many challenges related to speech data and the data quality it uses to get better. Originally published at [link].

AI 84

AI AI Predictive Analytics ML 84

Becoming Human

MAY 8, 2024

At the core of these advancements lies voice data, a crucial component for training algorithms to understand and respond to human speech. The quality of this data significantly impacts the accuracy and efficiency of speech recognition models. This challenge involves meticulous data processing and verification.

Machine Learning 52

Machine Learning Machine Learning Data Quality Artificial Intelligence 52