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20 articles
YouTube creators sue Amazon over alleged unauthorized scraping of videos to train Nova Reel, claiming violations of the DMCA.
Learn to build a MetaClaw-like framework that automatically schedules AI training sessions during your Google Calendar meetings, optimizing training efficiency by leveraging existing calendar data.
Learn how NVIDIA's ProRL Agent uses a new approach to train AI systems for complex, multi-turn conversations. This breakthrough could make AI assistants much more helpful for real-world tasks.
Learn how to set up a basic AI training environment using Python and common AI libraries, following the practices used by companies like Deccan AI.
Learn how NVIDIA's new PivotRL framework improves AI training efficiency by combining supervised learning and reinforcement learning techniques to achieve better performance with fewer attempts.
Learn how to build a data labeling system that simulates the gig work model used by AI platforms like DoorDash's Tasks app. This tutorial teaches you to create a system that assigns tasks to workers and processes labeled data.
Deeptune raises $43 million to build simulated workplaces for training AI agents, as demand for realistic AI training grows.
This explainer explores how DoorDash Tasks demonstrates advanced AI training methods, where human workers contribute to AI development through structured task-based data collection, forming a key component of the AI data economy.
This article explains the concept of AI-native training and how Blify's approach represents a significant advancement in enterprise learning systems, integrating AI directly into workplace communication platforms.
Encyclopedia Britannica and Merriam-Webster sue OpenAI over alleged copyright violations in AI training data usage.
Encyclopedia Britannica has sued OpenAI for allegedly using nearly 100,000 of its copyrighted articles to train AI models without permission. The case raises critical questions about copyright law and AI training practices.
This article explains how AI companies collect user data for model training, the legal implications of using copyrighted content without consent, and the broader challenges this poses for intellectual property rights in the age of artificial intelligence.
