Rapidata promises to shrink AI model cycles from months to days by tackling data‑annotation bottlenecks. Their approach blends human feedback, reinforcement learning and robotics to speed up model iteration—backed by ETH Zurich research. Curious how this could reshape open‑source ML pipelines? Read the full story. #AI #DataAnnotation #ModelIteration #Robotics

🔗 https://aidailypost.com/news/rapidata-aims-cut-model-cycles-from-months-days-cites-dataannotation

Chen argues that true AI quality isn’t a one‑off test – it demands continuous experimentation, iteration and nuanced evaluation. From multi‑faceted questions to answer completeness, we need better metrics to gauge generative AI performance. Dive into the policy implications. #AIQuality #EvaluationMetrics #GenerativeAI #ModelIteration

🔗 https://aidailypost.com/news/chen-says-ai-quality-requires-ongoing-experimentation-iteration