{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/f3889cabf0df410b9fb86dc5f2814304\" frameborder=\"0\" width=\"1156\" height=\"867\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":867,"width":1156,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":867,"thumbnail_width":1156,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/f3889cabf0df410b9fb86dc5f2814304-f829fae2179d27b2.gif","duration":233.5642,"title":"Understanding Context Loss in Conversational AI 🤖","description":"In this video, I discuss how the checkpoint can lose context when clarifying information. I provide examples of how it asks repeated questions and fails to recall previous responses, which can hinder our workflow. I highlight the issue of it only referencing what's currently displayed, leading to a lack of continuity in our discussions. I hope this insight is helpful for understanding the limitations we're facing. I encourage you to consider these points as we work on improving our communication processes."}