LLM Application Development
Build conversational, generative and analytical apps on GPT or open-source LLMs with solid prompt engineering.
Yunzhi Juchuang specializes in AI application development on large language models and machine learning, delivering practical intelligent products for real business scenarios: intelligent customer service, knowledge Q&A, content generation, recommendation and vision recognition. From model selection and fine-tuning to production launch, we turn AI from concept into productivity.
Build conversational, generative and analytical apps on GPT or open-source LLMs with solid prompt engineering.
Connect enterprise knowledge bases and systems to deliver 24/7 intelligent customer service at lower cost.
OCR, image recognition and semantic understanding for document processing, content moderation and more.
Recommendation systems built on user behavior data to lift conversion and engagement.
Identify AI opportunities in your workflows, prioritize and define success metrics.
Pick the right model and stack, and validate value quickly with a proof of concept.
Productize AI capabilities, integrate with existing systems, test and tune.
Monitor performance after launch and keep improving with real data.
Typical use cases include intelligent customer service, knowledge Q&A, document summarization, content generation and data analysis assistants. Any workflow with heavy text processing or repetitive Q&A is a candidate.
We first structure your FAQ and knowledge base, build a retrieval-augmented (RAG) solution so the model answers from your real materials, then integrate into WeChat, web or app channels with human handover kept.
AI projects add model selection, data preparation and effect tuning, shifting the bar from "functionally correct" to "effectively usable". We run POCs first to validate value before full investment.