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Tsinghua proposes a capability density evaluation system: AI models' volume halves every 3.5 months, Midea Intelligent has been applied to smartphones, in-car systems, and home appliances

Tsinghua University jointly with Midea Intelligent published an article in "Nature Machine Intelligence", proposing the "capability density" metric, emphasizing that model performance should focus on effective intelligence per parameter rather than scale. The study found that capability density doubles approximately every 3.5 months, allowing the required parameters for the same task to decrease exponentially. High-density requires collaborative design of data, computing power, and algorithms, rather than simple compression. Based on this, Midea Intelligent has introduced a series of models ranging from 0.5B to 2B.

10.1k 2 days ago
Tsinghua proposes a capability density evaluation system: AI models' volume halves every 3.5 months, Midea Intelligent has been applied to smartphones, in-car systems, and home appliances

Models

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MiniMax S2V-01

Minimax

MiniMax S2V-01

-

Input tokens/M

-

Output tokens/M

-

Context Length

PP-UIE-14B

Baidu

PP-UIE-14B

-

Input tokens/M

-

Output tokens/M

-

Context Length

Gemini 1.0 Pro

Google

Gemini 1.0 Pro

$3.5

Input tokens/M

$10.5

Output tokens/M

32

Context Length

ERNIE-1.0

Baidu

ERNIE-1.0

-

Input tokens/M

-

Output tokens/M

4

Context Length

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