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
-
- There are more pages in this discussion • 5,499 more messages in this thread...
You’re viewing a single post only. To view the entire thread just sign in or Join Now (FREE)
Add BRN (ASX) to my watchlist
 (20min delay)
|
|||||
|
Last
21.5¢ |
Change
0.005(2.38%) |
Mkt cap ! $399.0M | |||
| Open | High | Low | Value | Volume |
| 21.5¢ | 22.0¢ | 21.0¢ | $990.6K | 4.606M |
Buyers (Bids)
| No. | Vol. | Price($) |
|---|---|---|
| 5 | 177633 | 21.5¢ |
Sellers (Offers)
| Price($) | Vol. | No. |
|---|---|---|
| 22.0¢ | 517381 | 15 |
View Market Depth
| Last trade - 16.10pm 02/07/2024 (20 minute delay) ? |
| BRN (ASX) Chart |