Update README.md

README.md

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 ## Who We Are
 
-We are a team focused on automating the training process of stable diffusion models (LoRA, Lycoris, Pivotal Tuning, etc.). 
+We are a team focused on building infrastructure for anime data information, including images, text, audiovisuals, and more.
 
-Our goal is to automate the entire pipeline, including data acquisition, data filtering, training, step selection, and platform deployment, **saving manpower and optimizing model training quality to the maximum**.
+Our goal is to automate all common processes for handling anime information, including data acquisition, data filtering, training, step selection, and platform deployment, in order to save manpower and optimally balance quality and performance requirements.
 
 Our team comprises a Ph.D. in Software Engineering, a Ph.D. candidate in Computer Vision, professionals in art and design, and several AI waifu enthusiasts.
 
 We are a purely non-profit team, and all our work is completely open, without any form of charge.
 
-<!-- ## Our Achievements
-
-We have conducted multiple iterations on Pivotal Tuning training technology (training with a LoRA and one or more pt files). The progress is documented in the following technical blogs:
-* [Overview of v1.4 Training Automation](https://civitai.com/articles/2064/2023-8-31-release-of-v14-training-automation-process)
-* [Result Analysis of v1.4 Training Automation](https://civitai.com/articles/2479/2023-10-7-survey-of-v14-training-automation-and-planning-of-version-v15)
-* v1.5 Automation is coming... :)
-
-Quantitative analysis from the blog "Result Analysis of v1.4 Training Automation" shows that **v1.4 training automation has achieved a quite impressive level in both quality and quantity**, but there's still room for further improvement. This is an ongoing effort for v1.5 and future versions. -->
-
 ## Our Technical Outputs
 
 ### dghs-imgutils