video1.0<iframe src="https://www.loom.com/embed/badb94ad47cf40b7828a5decc5fbd5a9" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/badb94ad47cf40b7828a5decc5fbd5a9-45219a45e9f55828.gif862.7892In this video, I delve into the evolution of my GPTs, starting from my first language model 8 years ago to the latest version, DSLmodels. I discuss the significance of sparse priming representations (SPR) in efficiently representing ideas and memories. I demonstrate the process of creating a custom metaprompt assistant and delve into the theory behind SPR techniques. Viewers are encouraged to follow along as we create a new custom GPT for decompression.