Exploring how to get the answers and information we want from LLMs, in the way that we need.
Why run a huge, costly LLM when a smaller, distilled one can do the job faster, cheaper and with fewer hallucinations?
A new training framework developed by researchers at Tencent AI Lab and Washington University in St. Louis enables large language models (LLMs) to improve themselves without requiring any ...
The more I read about the inner workings of the LLM AIs the more I fear that at some point the complexity will far exceed what anyone can understand what it is doing or its limitations. So it will be ...
Training AI or large language models (LLMs) with your own data—whether for personal use or a business chatbot—often feels like navigating a maze: complex, time-consuming, and resource-intensive. If ...
Amazon Web Services (AWS) is harnessing the power of custom large language models (LLMs) to improve its internal application security processes, while using generative artificial intelligence (genAI) ...
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Blandness Of AI Mental Health Advice Is Due To Training-Time Content Homogenization And Convergence
AI gives out bland mental health advice by default. Why? To a great extent, this is due to training-time patterning and ...
A roundtable of SEO’s most trusted voices explains how LLMs really surface brands, why shortcuts fail, and what's working now.
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