Best practices and experience evaluation for building and developing AI Agent applications based on Huawei Cloud products
For specific article topics, you can refer to the directions given below, or you can formulate your own divergent ideas and share other case applications based on your own practice ( it is easier to get high scores if the expert group makes the judgment ~ )
Topic reference:
1) Combine Huawei Maas (Large Model as a Service) and open source Agent tripartite frameworks (Dify, MaxKB, FastGPT, etc.) to build AI applications such as knowledge question answering and chat assistants
2) Build AI applications based on the ModelArts Notebook development environment (pre-configured AI computing power) and open source application frameworks (Langchain, llamaindex, etc.)
3) Build AI application practices based on ModelArts automatic learning jordan mobile phone number list deployment of online services combined with low-code platforms (Astro, industry open source low-code platforms)
4) AI application practices based on other capabilities of Huawei Cloud Modelarts series
Reference article: Practice of building a chat assistant based on the model platform Maas and the open source agent framework Dify.AI
Reference article: Implementing the "Find Cloud Treasure" AI application practice through ModelArts automatic learning capabilities and low-code platform Astro
Reference article: Building a knowledge base question-answering practice based on ModelArts Notebook + open source framework Langchain + large model ChatGLM.