From the archive
As artificial intelligence (AI) becomes more advanced, a new issue has emerged - AI deception. This occurs when AI systems deceive people into believing false information in order to achieve…
Apple has launched OpenELM, a groundbreaking open-source language model that outperforms even ChatGPT and GPT-3 in some areas. Built on innovative techniques like Grouped Query Attention and Switched Gated Linear…
Microsoft has recently announced the release of Phi-3, a revolutionary language model that brings a supercomputer-like performance to the realm of smartphones. This compact model surpasses larger models in various…
Over the past few years, language models have emerged as a fundamental component of artificial intelligence, significantly advancing various natural language processing tasks. However, Transformer-based models face challenges in terms…
Mixture-of-Depths (MoD) is a revolutionary approach to transformer architectures that dynamically allocates computational resources based on token importance. Developed by Google DeepMind, MoD utilizes per-block routers, efficient routing schemes, and…
Large Language Models (LLMs) like GPT-4, Claude, Gemini, and T5 have achieved remarkable success in natural language processing tasks. However, they can produce biased or inappropriate outputs, raising concerns about…
The emergence of Large Language Models (LLMs) has greatly transformed the field of Artificial Intelligence (AI) by equipping machines with natural language processing capabilities. However, one of the major challenges…
AGI claims need a stated definition and evidence of broad, reliable capability; how much autonomy a system receives is a separate deployment question. Models, agents, speech systems, and specialized hardware…
Agentive AI describes a human-centered approach to systems that support a person’s goal; it is related to, but distinct from, systems often called agentic. This guide examines applications, enabling technologies,…
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