LLM Framework is a versatile studio template designed for implementing conversational and transactional tasks that involve LLM integrations, such as document analysis, extraction, web content summarization, and more. It operates on three core elements: context, trusted intelligence, and action. This framework provides sample implementations as guides for both conversational and transactional use cases. Additionally, it comes with custom activities for retrieval, augmentation, and generation (RAG), but users can easily switch to integration services by updating a global variable.
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Негізгі бет Ғылым және технология AI at Work: Context, Trusted Intelligence, and Action - using LLM Framework
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