Context windows of AI models, which indicate the ability of a model to “remember” information, have increased over time. However, researchers have rel=”nofollow” href=”https://x.com/behrouz_ali/status/1878860110090645946″>suggested rel=”nofollow” href=”https://arxiv.org/abs/2305.10250″new ways to increase long-term memory of AI models, as they often can’t hold context over several sessions.
19-year-old founder Dhravya Shah is attempting to solve problems in this area by building a memory solution, called rel=”nofollow” href=”https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwjJnp_Qq4-QAxXJjGMGHY0SKfkQFnoECA0QAQ&url=https%3A%2F%2Fsupermemory.ai%2F&usg=AOvVaw2bVeuTJ9gGnaoyxJnbctSy&opi=89978449″>Supermemory, for AI apps.
Originally from Mumbai in India, Shah started building consumer-facing bots and apps a few years ago. He even sold his bot that…

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