For the last two years, large language models have dominated the AI scene. But that might be When ChatGPT, Gemini and its other generative AI cohorts burst onto the scene a little over two years ago, talk about large language models — artificial intelligence models trained on large volumes of datasets to understand and generate human-like texts and visuals — dominated the technology scene. For years, the AI race was defined by scale — bigger models, more data and greater compute. But lately, there’s been a growing move away from large language models like GPT-4 and Gemini toward something smaller, leaner and perhaps even more powerful in certain business applications. “The next wave of AI is being built for specificity,”Jahan Ali, founder and CEO of MobileLive , told me […]
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