In one sentence, what is the following text about? 
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ChatGPT and chatbot-powered applications have captured significant attention in the Natural Language Processing (NLP) domain. The community is constantly seeking strong, reliable and open-source models for their applications and use cases. The rise of these powerful models stems from the democratization and widespread adoption of transformer-based models, first introduced by NAME_1 et al. in 2017. These models significantly outperformed previous SoTA NLP models based on Recurrent Neural Networks (RNNs), which were considered dead after that paper. Through this blogpost, we will introduce the integration of a new architecture, RWKV, that combines the advantages of both RNNs and transformers, and that has been recently integrated into the Hugging Face transformers library.

Overview of the RWKV project
The RWKV project was kicked off and is being led by NAME_2, who is actively contributing and maintaining the project. The community, organized in the official discord channel, is constantly enhancing the project’s artifacts on various topics such as performance (RWKV.cpp, quantization, etc.), scalability (dataset processing & scrapping) and research (chat-fine tuning, multi-modal finetuning, etc.). The GPUs for training RWKV models are donated by Stability AI.

You can get involved by joining the official discord channel and learn more about the general ideas behind RWKV in these two blogposts: https://NAME_3.github.io/2023/03/23/rwkv_overview.html / https://NAME_3.github.io/2023/03/23/rwkv_details.html``` In your response, include at most 13 words that are fully capitalized to emphasize key points.
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