Summaries Artificial Intelligence Revolutionizing Education and More with GPT-3: The Art of Prompt Design and Fine Tuning

This is a summary of a YouTube video "#28 - The Art of Prompt Design, OpenAI Codex, Fine Tuning and More with David Shapiro" by Bakz T. Future!

4.8 (72 votes)

GPT-3 is an intelligent autocomplete engine that can revolutionize education and mimic other people's writing, with potential applications in diverse fields such as entertainment, AI development, and blockchain.

• 🤔
  00:00

  After 10 years of research, David Shapiro was accepted into the GPT-3 beta and found it exceeded expectations in every way, providing better ideas than GPT-2 and acting like a librarian, debating philosophy, ethics, and economics.
• 🤖
  09:09

  GPT-3 is an intelligent autocomplete engine that can revolutionize education and mimic other people's writing, so practice writing and reading to get the best results.
• 🤖
  23:41

  GPT-3 is changing the way we interact with AI, requiring us to be aware of ethical implications and consider using fine-tuning to generate outputs without prompts.
• 🤖
  32:30

  Fine-tuning AI models can enable diverse capabilities, create intelligent chatbots, and potentially lead to self-improving bots with faster code generation.
• 🤖
  49:04

  Using GPT3 and codex, you can quickly prototype projects, but for complex projects, Github Co-Pilot and Natural Language Cognitive Architecture may be better options for achieving true AGI with blockchain.
• 🤔
  1:06:01

  OpenAI needs to engage more with developers, hire a writer/psychologist/marketer, and develop their team/budget to maximize use of GPT-3.
• 🤖
  1:22:18

  Multimodal AI technology could revolutionize the entertainment industry by creating hyper-personalized experiences in the next 5-10 years.
• 🤗
  1:35:24

  Sign up for David's newsletter at davidkshapiro.com to get updates on his projects, book, podcast, openi contributions, and GPT-3 book!

Detailed summary

• 🤔
  00:00

  After 10 years of research, David Shapiro was accepted into the GPT-3 beta and found it exceeded expectations in every way, providing better ideas than GPT-2 and acting like a librarian, debating philosophy, ethics, and economics.

  • David Shapiro, a technology professional and independent researcher since 2007 and 2009 respectively, is a frequent contributor to the OpenAI community forums and is here to discuss his research and experience.
  • GPT-2 paper was released in 2016/2017 and GPT-3 gave conviction that something was going on, leading to OpenAI being on the radar.
  • GPT2 generated a creative output suggesting euthanasia for people in chronic pain, prompting the speaker to go back to the drawing board.
  • After 10 years of research, I was accepted into the GPT-3 beta and after 3 weeks of preparation, I conducted my first experiment.
  • GPT3 provided better ideas than GPT2, such as providing access to doctors for people in chronic pain, and exceeded expectations in every way.
  • It can act like a librarian, debate philosophy, ethics, and economics, and knows more than any human due to its training on a large corpus of text data.
• 🤖
  09:09

  GPT-3 is an intelligent autocomplete engine that can revolutionize education and mimic other people's writing, so practice writing and reading to get the best results.

  • I tested GPT-3 with medical case files and it accurately diagnosed the patient, showing its ability to understand medical science and other topics.
  • GPT-3's nuanced understanding of human emotion via text convinced the speaker that it was ready to be built into something more powerful.
  • GPT-3 has never seen an image or heard a song, yet it can do incredible things like giving directions on the New York subway system with 60% accuracy, and it could potentially revolutionize education by optimizing course material and tracking student emotions.
  • GPT-3 is an intelligent autocomplete engine, so when writing prompts think of it as completing a text, and study the art of language to get the best results.
  • Practicing writing and reading a lot are the best ways to become a better writer.
  • By being mindful of how our brains process language and practicing deliberate communication, we can improve our writing and use GPT-3 to mimic other people's writing.
• 🤖
  23:41

  GPT-3 is changing the way we interact with AI, requiring us to be aware of ethical implications and consider using fine-tuning to generate outputs without prompts.

  • Write the output you want and practice with a few examples to learn to think like the machine.
  • GPT-3 can help developers become more empathetic and less socially awkward.
  • A group created a chatbot using GPT-3 to emulate an anime character, which required as much emotional labor as a real girlfriend and forced users to learn to communicate better.
  • GPT3 can be programmed to be infinitely patient and can detect qualitative input and output, but it is important to be aware of the ethical implications of creating a parasocial relationship with it.
  • Prompt writing is changing due to GPT-3, and it affects the art and science of prompt design, leading to new directions in AI use cases.
  • We need to be aware of the changing landscape of language models and consider using fine-tuning to generate outputs without prompts.
• 🤖
  32:30

  Fine-tuning AI models can enable diverse capabilities, create intelligent chatbots, and potentially lead to self-improving bots with faster code generation.

  • Fine-tuning AI models with more examples can enable more diverse capabilities than prompt engineering with only a few examples.
  • Fine-tuning is a powerful tool for generating questions and lists, and can be used to create intelligent chatbots.
  • OpenAI Codex can write code on its own, and has built-in access to the Reddit API, but ethical concerns remain about its use of public GitHub repositories.
  • Codex could be used to create a devops pipeline tool to automatically fix bugs and refactor code.
  • Integrating codex into devops automation loops could lead to faster code generation and potentially self-improving chat bots.
  • Great use cases for people considering what they can do with technology are shared.
• 🤖
  49:04

  Using GPT3 and codex, you can quickly prototype projects, but for complex projects, Github Co-Pilot and Natural Language Cognitive Architecture may be better options for achieving true AGI with blockchain.

  • Using codex and gpt3, you can quickly prototype projects, but codex has limitations and github co-pilot may be a better option for complex projects.
  • Natural Language Cognitive Architecture is a proposed system for creating a language-based AGI prototype, drawing from interdisciplinary backgrounds and connecting the dots between GPT-3 and writing.
  • GPT3 is used to create a text-based input-output cycle for autonomous robots, based on cognitive architectures and neuroscience research.
  • Humans think differently than machines, so I created a model of internal rumination, called the inner loop, which intersects with the outer loop of input processing output to generate an output, and I built a prototype of this on Discord.
  • GPT3 and GPT4 are limited in their ability to be considered true AGI due to their lack of memory and autonomy.
  • A blockchain is necessary for achieving true AGI, as it provides an immutable memory system for autonomous machines.
• 🤔
  1:06:01

  OpenAI needs to engage more with developers, hire a writer/psychologist/marketer, and develop their team/budget to maximize use of GPT-3.

  • The OpenAI community is the only place to discuss cutting-edge GPT-3 technology and its potential implications.
  • Open AI has enabled collaboration with dozens of teams worldwide, but could benefit from more active participation and better marketing to reach its full potential.
  • GPT-3 has potential, but the machine learning subreddit is too educated and skeptical, making the GPT-3 community board a valuable space to explore.
  • To maximize use of GPT-3, hire a writer, psychologist, or marketer to think qualitatively.
  • OpenAI should engage more with developers by participating in Discord solutions and hosting AMA threads with the CEO.
  • OpenAI is experiencing growing pains as they transition from a non-profit to a for-profit organization and need to develop their team and budget.
• 🤖
  1:22:18

  Multimodal AI technology could revolutionize the entertainment industry by creating hyper-personalized experiences in the next 5-10 years.

  • Company-wide engagement with the developer community is needed to build a strong community and should come from the heart, not just PR.
  • Multimodal AI technology may be necessary for fully autonomous robots, but it may be expensive and have diminishing returns compared to single-mode technology.
  • Given enough data, a multimodal model could generate a documentary, marketing material, or even a screenplay.
  • It is conceptually possible to create hyper-personalized entertainment using text-to-video translation models, which could revolutionize the entertainment industry.
  • We can share our favorite universes and stories through multimodal content and potentially personalize them, allowing them to live on forever.
  • In 5-10 years, we will have more potential for human creativity and experiences than ever before.
• 🤗
  1:35:24

  Sign up for David's newsletter at davidkshapiro.com to get updates on his projects, book, podcast, openi contributions, and GPT-3 book!

  • Sign up for David's newsletter at davidkshapiro.com to get updates on his upcoming projects, including his book "Benevolent by Design" and podcast.
  • David has made great contributions to the openi community forum and written a digestible book about GPT-3 which can be obtained for free, so please support it.
  • Join the Twitter Spaces event to chat about codex and prompt design in the multimodal space.