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22 articles
Training a modern large language model involves a complex pipeline of pretraining, alignment, and deployment stages, each crucial for building reliable and ethical AI systems.
This article explains the technical concepts behind comparing large language models like ChatGPT Plus and Gemini Pro, covering transformer architectures, training methodologies, and performance evaluation.
OpenAI releases a beginner-friendly guide to understanding artificial intelligence and how tools like ChatGPT use large language models. The resource demystifies AI concepts for general audiences.
This article explains the technical mechanisms behind hallucinations in large language models, why they occur, and their implications for AI reliability and trustworthiness.
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.
This explainer explores how large language models like ChatGPT are transforming management practices by enhancing communication, feedback delivery, and organizational effectiveness through AI-assisted tools.
Learn how TriAttention, a new AI method, compresses memory in large language models to make them 2.5x faster without losing accuracy.
This article explains the advanced AI concepts behind large language models and how they can be misused, using the Florida shooting case as a case study to illustrate the complex challenges of AI safety and accountability.
This article explains how Google DeepMind's AlphaEvolve uses Large Language Models to autonomously evolve game theory algorithms in imperfect information games, outperforming traditional expert-designed methods.
This article explains the technical aspects of pretrained AI models and how advanced AI systems like OpenAI's 'Spud' could accelerate economic growth through enhanced productivity and innovation.
This article explains the practice of model composition in AI, using Cursor's admission of building upon Moonshot AI's Kimi model as a case study to explore technical, ethical, and regulatory implications.
This explainer article explains how large language models work and why they're important for the future of artificial intelligence. It breaks down complex AI concepts into easy-to-understand terms using everyday analogies.
