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Version: v1.0 (Raw Transcripts)

Transcript: An Alexa Skill that recalls all memories

Version 1: Source Transcript

This document represents the raw lecture transcript recorded from the video lecture. For architectural study notes and system design documentation, see Version 2.

Full Transcript​

Hey there, let me ask you this question. For the past 12 months is how many of those AI agents demos have you seen it that looks like those chatbot windows where user make their questions and then an LLM is going to answer them? I'm pretty sure that lots of them, right? Well, I'm here to break this pattern and show you a different type of AI agent demo that is supposed to show how a typical conversation between human beings and machines should look like. Check this out. Alexa, ask my Jarvis to suggest what should I doublech checkck for my upcoming poll request. >> When double-checking your work, Ricardo, remember that senior developer Mark always inquires about certain aspects. It would be wise to review the code for clarity, ensure proper documentation, and confirm that all requirements and specifications have been met. Paying attention to detail and addressing any potential areas of improvement before presenting your work to Mark can help maintain high standards and quality in your projects. >> That's a good valuable feedback. Thank you. Let's try another one. Alexa, ask my Jarvis to suggest what should I give Hannah for her birthday. Since you already gifted Hannah a chemistry set for Christmas last year, it would be thoughtful to consider other meaningful presents for her birthday. You could explore options related to her hobbies, such as art supplies, a new book from her favorite author, or perhaps a gift card to her favorite store. Personalized gifts or experiences tailored to her interests can make her birthday special and memorable. >> See right there? That's how AI agents demo should look like when a conversation and between the interactions with machines. So your job is to review this GitHub reposer that I'm going to make available here on this post and then check the code how I've developed this Alexis skew and more importantly how I was able to leverage existing memories from the user to come up with valuable and inside answers.

Timestamped Segments​

  • [00:02] Hey there, let me ask you this question. For the past 12 months is how many of those AI agents demos have you seen it that looks like those chatbot windows where user make their questions and then an LLM is going to answer them? I'm pretty sure that lots of them, right? Well, I'm here to break this pattern and show you a different type of AI agent demo that is supposed to show how a typical conversation between human beings and machines should look like.
  • [00:30] Check this out. Alexa, ask my Jarvis to suggest what should I doublech checkck for my upcoming poll request. >> When double-checking your work, Ricardo, remember that senior developer Mark always inquires about certain aspects. It would be wise to review the code for clarity, ensure proper documentation, and confirm that all requirements and specifications have been met. Paying attention to detail and addressing any potential areas of improvement before presenting your work to Mark can help maintain high standards and quality in
  • [01:03] your projects. >> That's a good valuable feedback. Thank you. Let's try another one. Alexa, ask my Jarvis to suggest what should I give Hannah for her birthday. Since you already gifted Hannah a chemistry set for Christmas last year, it would be thoughtful to consider other meaningful presents for her birthday.
  • [01:27] You could explore options related to her hobbies, such as art supplies, a new book from her favorite author, or perhaps a gift card to her favorite store. Personalized gifts or experiences tailored to her interests can make her birthday special and memorable. >> See right there? That's how AI agents demo should look like when a conversation and between the interactions with machines. So your job is to review this GitHub reposer that I'm going to make available here on this post and then check the code how I've developed this Alexis skew and more
  • [02:02] importantly how I was able to leverage existing memories from the user to come up with valuable and inside answers.