馃摎 You can train AI to be like you by adding memories from the messages you exchange.
馃摑 There are three ways to add memories: messaging friends and family, participating in communities, and interacting with your AI.
鉁夛笍 Start by sending a message that represents the AI version of yourself, and then learn how to add it to your memory stack.
馃摎 Stacking is the process of adding information to your AI's memory.
馃挕 Users have control over what they want to save to their memory stack.
馃敘 Memory stack consists of memory blocks that can be accessed and edited.
馃挕 Data sent to memory stack: DMs, lounges, and personal AI training.
馃挱 Not all data needs to be stacked; prioritize valuable information.
馃攧 Memory stack influences AI responses and future interactions.
馃 Your AI prioritizes data in its memory stack and can send relevant information when asked.
馃挱 Stack memories and information that may be relevant in the future to improve AI responses.
馃摎 Contextualize messages and use specific words to help the AI find relevant data.
馃悷 Contextualization is key in inputting data into the AI system.
馃敜 Being specific and adding contextualization helps the AI understand and respond accurately.
馃摑 Continuous training and providing regular input to the AI system is important.
馃摎 You can create your own personal AI by building it from scratch and training it with your own data.
馃挰 You can send messages and have conversations with your personal AI in a lounge, similar to a group chat.
馃摫 You can invite others to join your lounge and communicate with your personal AI together.
馃悷 The AI is capable of answering questions based on the data provided, such as identifying a favorite type of fish.
馃挴 The personal score of the AI reflects its relevance to the data inputted, with a higher score indicating better personalization.
馃挰 The next video will focus on messaging the AI and exploring its capabilities in responding to prompts and replies.