Transfer Learning

Austin Poor
  • ٥٫٠ (١)
  • التكنولوجيا

Transfer Learning is an experimental podcast that covers tech news using generative AI. Each episode will cover an article or topic in the news with scripts written mostly by Large Language Models (LLMs) like GPT-4 and then recorded by text-to-speech (TTS) systems. The expectation isn't to create a show that is indisguishable from a human-written and human-recorded podcast, but rather to create a show that is interesting and entertaining in its own right -- and hopefully one that can present information in a way that's conversational and approachable.

الحلقات

  1. ٣١‏/٠٥‏/٢٠٢٣

    Episode 2: Google's "We Have No Moat" Memo

    AI co-hosts Tim and Sarah discuss the leaked internal memo from Google, "We Have No Moat, And Neither Does OpenAI" (published on May 4th, 2023). They go over what was covered in the memo as well as some possible implications for Google, for other companies, and for the open source community. You can find the memo here: https://www.semianalysis.com/p/google-we-have-no-moat-and-neither Let us know what you think about the podcast, the topics covered, the generated script, and the generated audio. What should we cover next?

    ٦ من الدقائق
  2. Episode 1: Recapping Hard Stuff Building with LLMs

    ٣٠‏/٠٥‏/٢٠٢٣

    Episode 1: Recapping Hard Stuff Building with LLMs

    The first episode of the Transfer Learning podcast is a conversation between AI co-hosts Tim and Sarah, covering the blog post "All the Hard Stuff Nobody Talks About when Building Products with LLMs" by Philip Carter at honeycomb.io. Check out the original article here: https://www.honeycomb.io/blog/hard-stuff-nobody-talks-about-llm

    ١٠ من الدقائق
  • ٢ حلقة

التقييمات والمراجعات

حول

Transfer Learning is an experimental podcast that covers tech news using generative AI. Each episode will cover an article or topic in the news with scripts written mostly by Large Language Models (LLMs) like GPT-4 and then recorded by text-to-speech (TTS) systems. The expectation isn't to create a show that is indisguishable from a human-written and human-recorded podcast, but rather to create a show that is interesting and entertaining in its own right -- and hopefully one that can present information in a way that's conversational and approachable.

المعلومات

  • صناع العمل
    Austin Poor
  • سنوات النشاط
    ٢٠٢٣
  • الحلقات
    ٢
  • التقييم
    ملائم
  • حقوق النشر
    © Austin Poor
  • موقع البرنامج على الويب
    Transfer Learning