Tensor Times
An academic-grade journal of artificial intelligence research — peer-reviewed analysis of large language models, machine learning frameworks, and the engineering behind today’s most consequential AI systems.
Latest Analysis
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Algorithmic Bias in Clinical Decision Support Systems: An Interdisciplinary Framework for Ethical Implementation
Introduction: The Promise and Peril of Clinical Algorithms The integration of Artificial Intelligence (AI) and Machine Learning (ML) into Clinical Decision Support Systems (CDSS) heralds a transformative era…
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Prompt Engineering as a Scientific Discipline: Methodologies for Systematic Instruction Optimization
Introduction: From Artisanal Craft to Systematic Inquiry The rapid proliferation of large language models (LLMs) has foregrounded a seemingly simple interface: the text prompt. What began as an…
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The Open-Source Frontier: Evaluating the Performance and Governance of Community-Driven Language Models
Introduction: The Shifting Landscape of Model Development The paradigm of large language model (LLM) development is undergoing a profound transformation. Once the exclusive domain of well-resourced corporate laboratories,…
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Beyond Fine-Tuning: Parameter-Efficient Adaptation Strategies for Enterprise AI Deployment
The deployment of large-scale foundation models in enterprise environments presents a formidable paradox. While models like GPT-4, LLaMA, and Claude offer unprecedented capabilities in natural language understanding and…
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The Ethics of AI Personhood: Philosophical and Legal Considerations for Autonomous Agent Rights and Responsibilities
Introduction: The Threshold of Consciousness The rapid evolution of artificial intelligence, particularly in the domains of autonomous agents and sophisticated large language models, has precipitated a profound and…
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The Emergence of Multimodal Reasoning in Large Language Models: A Critical Analysis of Recent Architectural Advances
Introduction: Beyond Textual Intelligence The trajectory of artificial intelligence has long been dominated by unimodal paradigms, where models specialized in processing a single data type—most notably text. However,…