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AI, Data and Blockchain: a VC perspective | Tomasz Tunguz, Founder of Theory Ventures
The MAD Podcast with Matt Turck
Value of Small Language Models and Constellation Model in AI Innovation
Small language models are becoming more beneficial for BDB applications with their improving performance and cost-effectiveness compared to larger models. The rapid commoditization of out-of-date models is evident in the significant pricing difference between models. This trend is expected to lead to a bifurcation of model sizes, with smaller models like llama three proving effective for certain tasks while larger models like the 440 billion parameter model are still being developed. The concept of a constellation model, where a query is processed by a classifier that could be generative or classical, is emerging as a strategy to optimize AI performance by using a combination of big and small models based on specific use cases.
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