Artificial intelligence
fromMedium
1 day agoHindsight: The Future of AI Agent Memory Beyond Vector Databases
Hindsight introduces a new AI memory system that enables learning from experiences rather than just recalling past information.
PolarQuant is doing most of the compression, but the second step cleans up the rough spots. Google proposes smoothing that out with a technique called Quantized Johnson-Lindenstrauss (QJL).
"To enable the next generation of foundation models, we must solve the problem of continual learning: enabling AI systems to keep learning and improving over time, similar to how humans accumulate knowledge and refine skills throughout their lives," the researchers noted. Reinforcement learning offers a way to train on data generated by the model's own policy, which reduces forgetting. However, it typically requires explicit reward functions, which are not easy in every situation.