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74 articles
This article explains the concept of AI agents, how they work, and why the strategic acquisition of Manus by Tencent matters in the context of AI development and market competition.
OpenAI introduces GPT-Live, a new voice model that enhances natural human-AI interaction and powers ChatGPT Voice. The technology improves conversational flow and emotional expression in AI responses.
This explainer explains what AI agents are, how they work, and why their development is challenging for companies like Meta. Learn how these intelligent systems could change our daily interactions with technology.
Acti introduces a new smartphone keyboard that brings AI assistants directly to users' fingertips, allowing custom AI-powered shortcuts through natural language commands across all applications.
Learn how natural language processing (NLP) is revolutionizing professional networking by helping computers understand human language, leading to smarter job matches and personalized connections.
OpenAI has updated its ChatGPT Instant model to better understand user intent, improving conversation quality and context handling.
This explainer explores how Meta's AI Mode works, combining retrieval-augmented generation with semantic search to extract answers from Facebook's vast user-generated content.
This explainer explores Google's Gemini-SQL2, a text-to-SQL model that converts natural language into executable database queries. It explains how the model works, why it's significant, and what it means for database accessibility.
Learn how to build and deploy your own AI chatbot using the Hugging Face platform, no coding experience required.
DoorDash introduces Ask DoorDash, an AI chatbot that lets users order food using natural language prompts and photos, streamlining the traditional browsing process.
Learn how to create a basic AI sentiment analysis tool using Python that can help understand public attitudes toward artificial intelligence, similar to studies about US workers' AI skepticism.
Researchers introduce GEPA, a reflective prompt-evolution framework that enhances small language models' performance on multi-step arithmetic problems through structured feedback and multi-component prompt design.
