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A Primer on AI for Architects with Anthony Alford
The InfoQ Podcast
Navigating the Complexity of AI Model Training
Training large language models (LLMs) demands significant computational power, leading to substantial cloud costs that often go unrecognized outside the development teams. While many individuals and organizations aren’t focused on creating their own LLMs, they increasingly leverage existing models to enhance online searches. Unlike traditional search engines that access real-time information, LLMs typically generate responses based on pre-existing training data, which lacks context on current events. However, innovations like Bing's integration of GPT-4 strive to improve this by incorporating live search results into their outputs, blending the benefits of LLMs with dynamic information access.
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