If LLMs Have No Memory, How Do They Remember Anything?

Large language models (LLMs) operate as stateless mathematical functions, lacking intrinsic memory but using a context window to simulate recall by re-reading conversation history. This approach is limited and requires external systems for persistent memory across sessions, addressing the need for long-term memory solutions that store and retrieve relevant information from external databases. Developers should explore libraries like LangMem and mem0 to implement effective LTM in their applications.

Read the full article at Towards AI - Medium

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