How ChatGPT Works Technically For Beginners

Kurdiez・2 minutes read

A software programmer shares their experience using Chat GPT for coding, finding it efficient yet intimidating. Chat GPT's development and training process mimic aspects of human brain function but lack the adaptability and energy efficiency seen in human brains.

Insights

  • Chat GPT has significantly transformed the speaker's work routine by making it more efficient and less repetitive, leading to feelings of excitement, relief, and occasional fear due to the AI's ability to code better than the speaker at times.
  • The development of Chat GPT and other conversational AI involves simulating the brain's structure and functionality, training neural networks through unsupervised and supervised learning phases, and showcasing the challenges of natural language processing. Despite AI's advantages in training time and fixed neural networks, the energy-intensive nature and rigidity of current AI systems contrast with the adaptability and energy efficiency of human brains, emphasizing the unique strengths and limitations of each.

Get key ideas from YouTube videos. It’s free

Recent questions

  • What is Chat GPT?

    A conversational AI tool for coding and conversations.

Related videos

Summary

00:00

"Chat GPT: Transforming Coding with AI"

  • The speaker, a software programmer, has been using Chat GPT and other AI code generation tools for 80% of their coding work for the past two months.
  • Using Chat GPT has transformed the speaker's daily work routine, making it more efficient and less repetitive.
  • The speaker feels excited, relieved, and scared by Chat GPT's ability to sometimes code better than them and provide learning opportunities.
  • Curious about how Chat GPT works, the speaker decided to create a beginner's guide video to explain its research, development, and release.
  • Chat GPT is a conversational AI capable of intelligent conversations, similar to the interactions between Iron Man and Jarvis in the Marvel movies.
  • Conversational AI research has been challenging due to the complexities of natural languages like English, which are nuanced and context-dependent.
  • Chat GPT's ability to engage in human-like conversations has evoked emotions like amazement, excitement, and fear in users.
  • AI scientists approached developing conversational AI by simulating the brain's structure and functionality in a computer program.
  • The program, like the brain, is reactionary, waiting for user input to generate responses based on the data provided.
  • Training AI involves presenting it with data, like images of dogs, birds, and cats, and adjusting its neural network's activation behavior until it provides accurate responses.

14:52

"Neural network training and ChatGPT development"

  • Training an AI involves starting with a random set of neural network connections and activations, then iteratively correcting errors until the desired answer is achieved.
  • The design of a neural network for image recognition involves input layers, layers of neurons, and output layers, but this pattern fails in tasks like natural language processing.
  • Google scientists discovered that neural networks can have feedback loops, allowing signals to be sent back to earlier layers, leading to more interesting results.
  • Neural network patterns are inspired by the complex connections observed in human brains, with connections not limited to unidirectional paths.
  • ChatGPT was developed based on Google's research, with one neural network understanding input and another generating responses, trained unsupervised and supervised respectively.
  • ChatGPT's unsupervised learning phase involves training the input understanding neural network for a year and the response generating neural network for six months.
  • ChatGPT serves users until a new version is released, with each version having fixed neural networks that do not change between releases.
  • Humans take about 25 years to fully develop their brains, with neurons constantly changing and adapting even after development.
  • Human neurons are autonomous and energy-efficient, making decisions at the cellular level without external control.
  • ChatGPT takes 1.5 years to be trained and released, showcasing an advantage over humans in terms of training time.

29:28

"ChatGPT 1.5: AI vs Human Intelligence"

  • ChatGPT is currently at version 1.5, with plans for faster iterations in the future. The AI's neural network remains fixed once built, unlike human brains, but research is ongoing to allow for minor adjustments between releases based on user feedback.
  • The current AI technology is energy-intensive, requiring significant electricity and GPU resources to operate. This contrasts with human brains, which are more adaptable and energy-efficient, allowing for autonomy and intelligence without reliance on massive servers.
  • The rigidity and energy consumption of current AI highlight the advantages of human intelligence, showcasing the potential for humans to function independently and intelligently in various environments, contrasting with the limitations of AI technology.
Channel avatarChannel avatarChannel avatarChannel avatarChannel avatar

Try it yourself — It’s free.