When Anthropic open-sourced the Model Context Protocol (MCP) in late 2024, it promised to solve one of the most persistent integration challenges in artificial intelligence. Before then, connecting ...
As recently as 2022, just building a large language model (LLM) was a feat at the cutting edge of artificial-intelligence (AI) engineering. Three years on, experts are harder to impress. To really ...
Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with ...
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Introducing a single human-made data point can prevent AI models from cannibalizing themselves
Researchers have found that introducing human-made data into AI training can help to prevent AI model collapse.
Executives at leading AI labs say that large language models like those from OpenAI and Big Tech firms risk becoming commoditized in 2025. Last week, Chinese AI firm DeepSeek released R1, a reasoning ...
What the firm found challenges some basic assumptions about how this technology really works. The AI firm Anthropic has developed a way to peer inside a large language model and watch what it does as ...
Editor’s note (September 9th): This article has been updated. WHEN TECH folk talk about the lacklustre progress of large language models (LLMs), they often draw an analogy with smartphones. The early ...
Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether ...
The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...
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