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¿Cómo funciona ChatGPT? La revolución de la Inteligencia Artificial

Nate Gentile・54 minutes read

Computers using Artificial Intelligence are excelling in various fields, raising questions about the necessity of human involvement, with advanced technologies like Chat GPT showcasing significant shifts in the adoption of AI. The key to technological company success hinges on dominating artificial intelligence, with companies like Microsoft investing heavily to compete with Google, although the accuracy of information provided by AI models like Chat GPT may be questionable.

Insights

  • Computers using Artificial Intelligence have achieved remarkable feats in various fields, such as winning painting contests and excelling in challenging exams like those in medicine and law, raising questions about the necessity of human involvement in tasks.
  • Artificial Intelligence technologies like Chat GPT, with its 10 million daily users in the first month, represent a significant shift in technology adoption, functioning as a chat-based oracle that offers diverse services, while being trained on vast datasets and undergoing reinforcement learning to enhance responses, despite the potential for inaccuracies in information provided.

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Recent questions

  • How has Artificial Intelligence advanced in recent years?

    Artificial Intelligence has made significant strides, showcasing capabilities like winning painting contests, excelling in challenging exams in fields such as medicine and law, and even generating legal texts. The rapid progress of computers has raised questions about the necessity of human involvement in various tasks, marking a significant shift in technology adoption.

  • What is the function of Chat GPT?

    Chat GPT serves as a chat-based oracle, offering a wide array of services ranging from solving logical problems to generating legal texts. Utilizing GPT-3 technology, Chat GPT engages users in chat conversations, enhancing interaction and providing various services through its advanced capabilities.

  • How do neural networks contribute to Artificial Intelligence?

    Neural networks, a fundamental component of machine learning, enable computers to learn complex tasks that are challenging to program traditionally. They learn patterns from data, recognize sequences as words or tokens, and classify terms by meaning, facilitating the development of AI technologies like GPT models.

  • What is the significance of Transformers in neural networks?

    Transformers, a new organization of neural networks, introduced attention layers that focus on important details during processing. This attention mechanism allows for parallel processing of words, significantly speeding up training and text generation, enhancing the efficiency and accuracy of AI technologies.

  • How do GPT models like Chat GPT generate text?

    GPT models like Chat GPT generate text by reconstructing information, inventing details that may differ from the original text. They compress the basic meaning of information and reconstruct it with their own words, using techniques like sampling to introduce creativity and generate original content based on their training data.

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Summary

00:00

Advancements in Artificial Intelligence Technology

  • Computers using Artificial Intelligence are achieving remarkable feats, such as winning painting contests and writing articles.
  • Artificial Intelligence is now capable of excelling in challenging exams in fields like medicine and law.
  • The rapid advancement of computers in recent years has led to questioning the necessity of human involvement in various tasks.
  • The emergence of Artificial Intelligence technologies like chat gpt, with 10 million daily users in its first month, signifies a significant shift in technology adoption.
  • Chat gpt functions as a chat-based oracle, offering a wide range of services from solving logical problems to generating legal texts.
  • The development of Artificial Intelligence technologies is the result of decades of innovation in programming, computing, and artificial intelligence.
  • Gpt models, like gpt 3, are language models that predict words based on input text, akin to autocomplete features on smartphones.
  • Chat gpt, a website utilizing gpt 3, is tailored to respond as if engaging in a chat conversation, enhancing user interaction.
  • Neural networks form the basis of gpt models, enabling them to predict words and respond coherently to user queries.
  • Neural networks, a key component of machine learning, allow computers to learn tasks that are challenging to program traditionally, like recognizing handwritten numbers or drawings.

12:30

"AI Training, Encoding, and Embedding Explained"

  • Artificial Intelligence studies thousands of cases to draw conclusions and find patterns, a process known as training.
  • Training can involve recognizing images, handwritten numbers, or playing board games.
  • Deep fake videos involve training AI to generate faces that resemble others, like Elon Musk.
  • Computers understand only numbers, not concepts represented by words like car or tree.
  • Text, audio, and video on computers are processed as numbers for mathematical operations.
  • Encoding like ASCII or UTF-8 assigns numbers to characters for computer processing.
  • Neural networks learn patterns from data, recognizing repeated sequences as words or tokens.
  • Tokenization assigns numbers to tokens, simplifying data for neural networks.
  • Embedding creates a complex labeling system for words, grouping similar words together.
  • GPT uses embedding to represent words as 300-dimensional vectors, organizing phrases within the system.

24:58

"GPT: Generating Original Text with Creativity"

  • GPT generates text by reconstructing information, inventing details that may differ from the original.
  • GPT's output is an original creation due to the loss of details from the original text.
  • GPT compresses the basic meaning of information and reconstructs it with its own words.
  • GPT uses a technique called sampling to introduce creativity by generating random phrases.
  • GPT's stories are combinations of previously encountered stories during its training phase.
  • A neural network learns by identifying patterns in data, creating tokens to classify terms by meaning.
  • Recurrent neural networks save results to process the next token, but face issues with sequential processing.
  • Transformers, a new neural network organization, introduced attention layers to focus on important details.
  • Attention allows parallel processing of words, significantly speeding up training and text generation.
  • Google's BERT, based on Transformer technology, enhances search precision by understanding queries and providing accurate results.

37:26

"Google and Microsoft's AI advancements in chat"

  • Google proposed the Transformers architecture for neural networks.
  • Neural networks have parameters that are like knobs for adjusting machine behavior.
  • GPT-2 was trained with 1.5 billion parameters, while GPT-3 used 175 billion parameters.
  • GPT-3 was trained with a database called Common Crawl, WebText 2, and all of Wikipedia.
  • Chat GPT is a refined version of GPT-3, trained with additional data and human-generated responses.
  • Chat GPT underwent reinforcement learning from human feedback to improve responses.
  • Microsoft's Azure Cloud was used to train GPT with 175 billion parameters.
  • Bing search engine has a chat feature using a modified version of GPT for real-time responses.
  • GPT models like Chat GPT can provide inaccurate information due to the nature of how they process data.
  • Companies like Microsoft are heavily investing in AI technologies, aiming to compete with Google in the field.

49:49

"Winning the AI War with adjepete"

  • The key to winning the technology company war lies in dominating artificial intelligence, particularly semantic search engines and Internet usage, with the exact timing of this victory remaining uncertain. The recommendation is to try out adjepete for various purposes, but caution is advised regarding the accuracy of the information provided.
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