2024-07-15 09:06:21.AIbase.10.2k
Comic Fast View: Training a Vertical Large Model in the ACG Domain for Immersive Chatting with IPs
In the realm of anime, comics, and games (ACG), the rapid development of technology has led to the creation of large-scale vertical models. These models are specifically designed to provide users with an immersive experience when interacting with their favorite intellectual properties (IPs). The ability to engage in natural and lifelike conversations with characters from these IPs enhances the overall enjoyment and engagement of the fans. This technological advancement is a testament to the continuous innovation and progress in the ACG industry.
On July 11th, Kuaikan Comics announced that they are exploring fine-tuning of open-source large models to train a vertical large model for the two-dimensional (2D) domain.
Kuaikan Comics utilizes large language models (LLM) and retrieval-augmented generation (RAG) technology to improve the conversion rate of work searches and inject new vitality into the search process. They have adopted a "fine-tuned large model + RAG enhancement" strategy, building internal PGC (Professional Generated Content)
