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95 articles
Learn how to build and experiment with basic AI text generation systems using Python and pre-trained language models.
This article explains Google's new Gemini 3.5 Transcribe speech-to-text model, detailing its dual-endpoint architecture, technical mechanisms, and implications for developers building voice agents and transcription systems.
This article explains how Fastino's GLiNER2.5 uses boundary prediction to improve information extraction efficiency, replacing traditional span enumeration methods with a more scalable approach.
This article explains how AI avatars work in educational settings, combining advanced technologies like transformers, GANs, and multimodal processing to create interactive learning experiences.
Learn how RayNeo's new AI glasses use artificial intelligence to display helpful text overlays without cameras or speakers, making them more private and practical than traditional smart glasses.
This article explains how AI systems like ChatGPT can analyze personal data on Mac devices while maintaining privacy, covering the technical architecture and implications of such integration.
Learn how to use S1-mini, a 462 MB open-weight text normalizer that cleans up raw ASR transcripts by removing fillers and self-corrections.
Learn to analyze ad relevance in conversational AI systems like ChatGPT by building a tool that evaluates how well ads match conversation contexts using OpenAI's language understanding capabilities.
Learn to build an AI assistant with natural language processing, camera AI features, and voice interaction capabilities similar to those found in the Google Pixel 11 smartphone.
Learn to analyze AI manifestos and leadership documents using Python NLP techniques, including sentiment analysis, keyword extraction, and theme identification.
This article explains the technical foundations and implications of voice-activated AI wearables, focusing on how speech recognition, natural language processing, and edge AI work together to enable seamless, continuous data capture in compact devices.
Learn how computers analyze emotions in text using both traditional and modern AI techniques. Understand how sentiment analysis works and why it matters in everyday life.
