Model Integration and Functional Implementation of Chatly
Chatly builds a complete capability matrix by integrating three cutting-edge AI technologies: ChatGPT provides the foundation for natural language conversations, GPT-4 strengthens the quality of complex content generation, and Google PaLM 2 empowers real-time web search. This combination of technologies enables the platform to realize complementary functions, for example, when users request to generate science and technology articles, GPT-4 is responsible for writing the main content, while PaLM 2 can automatically supplement the latest industry data. The technical architecture adopts a layered design: the base layer handles multilingual comprehension and contextual memory, and the application layer invokes the most suitable combination of models according to the scenario, in which the image generation module may individually adopt visual models such as DALL-E.
Typical application scenarios include marketers needing to simultaneously generate product copy (GPT-4) and obtain market trend data (PaLM 2), or researchers uploading literature and having the system automatically cross-analyze the text (ChatGPT) and add the latest references (PaLM 2). This integrated mode improves task completion by 32% compared to a single modeling tool (refer to the Industry Hybrid Modeling Effectiveness Report).
This answer comes from the articleChatly: Intelligent Chat and Content Generation Tool with Integration of Multiple AI ModelsThe
