Memory as a System Primitive: Beyond Context Windows and Vector Stores

1. 1Reframe AI memory as a system primitive
2. 2Explore typed, versioned, and dispatchable substrates for LLMs
3. 3Consider alternatives to context windows and vector stores
4. 4Design and test new AI memory architectures
5. 5Evaluate the impact on LLM performance and efficiency

AI engineers and researchers can benefit from this new perspective on AI memory to improve the performance of large language models

💡 Treating AI memory as a system primitive can lead to more efficient and scalable LLMs

Rethink AI memory: move beyond context windows and vector stores #LLMs #AISystems