#cplusplus#arm#convolution#deep_learning#embedded_devices#llm#machine_learning#ml#mnn#transformer#vulkan#winograd_algorithm
MNN is a lightweight and efficient deep learning framework that helps run AI models on mobile devices and other small devices. It supports many types of AI models and can handle tasks like image recognition and language processing quickly and locally on your device. This means you can use AI features without needing to send data to the cloud, which improves privacy and speed. MNN is used in many apps, including those from Alibaba, and supports various platforms like Android and iOS. It also helps reduce the size of AI models, making them faster and more efficient.
https://github.com/alibaba/MNN
#LPT is consolidating within a falling wedge pattern and is currently trading above the support trendline.
A bounce from this level is possible, while a breakout of the pattern would confirm bullish momentum.
Conversely, a breakdown below the wedge could lead to further correction.
#LPT/USDT analysis :
#LPT is currently experiencing a bearish trend, trading below the 200 Exponential Moving Average (EMA). The price has encountered resistance at the 200 EMA and has broken below the established trendline, suggesting further downward momentum. A decline to test the swing low level is anticipated.
TF : 2h
Entry : $5.423
Target : $4.883
SL : $5.740
#LPT/USDT analysis :
#LPT has broken down and retested the previous support zone, which is now acting as resistance for the price. It is anticipated that the price will resume its bearish momentum from the current level and test lower levels. For a short entry, it is advisable to wait for a price retracement.
TF : 1H
Entry : $13.76
Target : $12.78
SL : $14.36
#LPT/USDT analysis :
#LPT is currently consolidating sideways in a correction phase above the 200 EMA. The price is likely to test the support zone and then bounce back from there to test the resistance zone.
TF : 1H
Entry : $14.60
Target : $15.30
SL : $14.25