{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/a063199b8c6d4bd38afb6b6aaee0eb0f\" frameborder=\"0\" width=\"1670\" height=\"1252\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1252,"width":1670,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1252,"thumbnail_width":1670,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/a063199b8c6d4bd38afb6b6aaee0eb0f-bd47798a10e8b62b.gif","duration":92.494,"title":"Enhancing AI Interactions with Contextual Memory 🚀","description":"In this video, I discuss our project aimed at enhancing user interactions by allowing us to repeat previous tasks more efficiently. We have developed a front end that connects to user sessions, storing context and chat messages in a database. Our knowledge exchange engine utilizes user actions and past knowledge to implement tasks, with GTP5 assisting in rewriting and appending messages. I encourage everyone to think about how we can leverage this system to improve our workflows. Please share any thoughts or feedback on this approach."}