For example, GShard and Switch Transformer are two of the largest machine learning models we’ve ever created, but because both use sparse activation, they consume less than 1/10th the energy that you’d expect of similarly sized dense models — while being as accurate as dense models.
https://blog.google/technology/ai/introducing-pathways-next-generation-ai-architecture/
2021 BRN Discussion, page-28082
Add BRN (ASX) to my watchlist
 (20min delay)
|
|||||
|
Last
20.5¢ |
Change
-0.005(2.38%) |
Mkt cap ! $380.4M | |||
| Open | High | Low | Value | Volume |
| 21.0¢ | 22.0¢ | 20.3¢ | $1.148M | 5.421M |
Buyers (Bids)
| No. | Vol. | Price($) |
|---|---|---|
| 8 | 165683 | 20.5¢ |
Sellers (Offers)
| Price($) | Vol. | No. |
|---|---|---|
| 21.0¢ | 10000 | 1 |
View Market Depth
| Last trade - 16.10pm 19/07/2024 (20 minute delay) ? |
| BRN (ASX) Chart |