This is an overview of the KnowLM, which mainly consists of three technical features:
Knowledge Prompting: It generates knowledge prompts based on structured data such as knowledge graphs and utilizes knowledge augmentation constraints to address knowledge extraction and reasoning issues.
Knowledge Editing: It aligns outdated, incorrect, and biased knowledge within large models using knowledge editing techniques to tackle knowledge fallacy problems (English Tutorial).
Knowledge Interaction: It enables dynamic knowledge interaction and feedback to achieve tool-based learning and multi-agent collaboration, resolving the problem of embodiment cognition in LLMs (English Tutorial).
The tools corresponding to these three technologies are EasyInstruct, EasyEdit, and EasyAgent (under development). We will soon provide use cases for knowledge prompting and knowledge editing based on the KnowLMframework.
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