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9 articles
This explainer explores AI-assisted coding, examining how transformer-based systems generate code, the productivity benefits they offer, and the complex implications for software development practices and workforce dynamics.
Learn to build a real-time hate speech detection system using Python and transformer models, similar to Penemue's AI platform for identifying online hate and digital violence.
This article explains the concept of open reasoning AI models and how Arcee AI's Trinity Large Thinking advances the field by enabling long-horizon agent behaviors and tool use through an Apache 2.0 open-source framework.
Learn how Google's Lyria 3 Pro music generation model represents a major advancement in AI audio synthesis using transformer architectures and sequence modeling techniques.
Learn about Xiaomi's new MiMo AI models that combine multiple data types to create autonomous AI agents capable of controlling software, robots, and voice systems.
This article explains how generative AI systems are transforming game development by enabling the creation of NPCs and entire game worlds from simple text prompts, using advanced transformer architectures and attention mechanisms.
This article explains how Meta and NYU researchers are exploring unlabeled video data as a new training frontier for multimodal AI models, challenging conventional assumptions about model architecture and data prioritization.
This explainer explores how AI search technologies are transforming information discovery through advanced machine learning techniques, including transformers, attention mechanisms, and retrieval-augmented generation.
Learn how OpenAI's new GPT-5.3-Codex-Spark AI model achieves 15x faster coding performance by using advanced transformer architecture and efficient chip technology, making AI programming tools more accessible than ever.
