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cover of episode 890: The “State of AI” Report 2025

890: The “State of AI” Report 2025

2025/5/23
logo of podcast Super Data Science: ML & AI Podcast with Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

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Jon Krohn: 我发现小型模型在性能上有了显著的提升,并且运行成本也大幅降低。在2022年,需要5400亿参数的Palm模型才能在MMLU基准测试中获得60%以上的分数,但到了2024年,仅需38亿参数的Microsoft Fi 3 Mini就能达到相同的性能。这意味着模型大小在两年内减少了142倍。此外,查询AI模型的成本也大幅下降,从2022年11月的每百万tokens 20美元降至2024年10月的0.07美元,降幅高达280倍。LLM推理价格从2023年到2024年每年下降9到900倍,这使得AI的应用更加经济实惠。

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In this week’s Five-Minute Friday, Jon Krohn reveals highlights from Stanford University’s AI Index Report. Released a few weeks ago by the Institute for Human-Centered AI, this annual report details the incredible technical advances, policies, and investments in artificial intelligence. Hear which models achieve the best performance relative to their size, in what scenarios top AI systems can outperform humans (and when humans still outperform AI), and more in Jon’s five key takeaways.

Additional materials: ⁠⁠www.superdatascience.com/890⁠⁠)

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