This is the Windows app named LaMDA-pytorch whose latest release can be downloaded as v0.0.2.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named LaMDA-pytorch with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS:
LaMDA-pytorch
DESCRIPTION:
Open-source pre-training implementation of Google's LaMDA research paper in PyTorch. The totally not sentient AI. This repository will cover the 2B parameter implementation of the pre-training architecture as that is likely what most can afford to train. You can review Google's latest blog post from 2022 which details LaMDA here. You can also view their previous blog post from 2021 on the model.
Features
- Open-source pre-training implementation of Google's LaMDA research paper in PyTorch
- T5 Relative Positional Bias in Attention
- Gated GELU Activation in the Feed forward layer
- GPT-like Decoder Only architecture
- Autoregressive with Top-k sampling
- Sentencepiece Byte-pair encoded tokenizer
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/lamda-pytorch.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.