Models & Providers

What is GPT?

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6 min read

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GPT stands for "Generative Pre-trained Transformer." It's a family of language models developed by OpenAI that can understand and generate human-like text.

What GPT Does

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GPT models can:

  • Answer questions in natural language
  • Write articles, stories, or code
  • Translate between languages
  • Summarize long documents
  • Have conversations
  • Solve problems step-by-step

GPT Versions

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[GPT-3]: The breakthrough model that showed what large language models could do. Released in 2020.

[GPT-3.5]: An improved version powering ChatGPT. Faster and more capable than GPT-3.

[GPT-4]: The current flagship model. Significantly more capable than GPT-3.5, better at reasoning, and can handle longer conversations.

[GPT-4 Turbo]: A faster, more efficient version of GPT-4 with updated knowledge.

How GPT Works

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GPT is a transformer model—a type of neural network architecture that's particularly good at understanding context in text. It's trained on a massive amount of text from the internet, learning patterns in how language works.

When you give GPT a prompt, it:

  1. Processes the text to understand context
  2. Predicts what words should come next
  3. Generates text that follows naturally from your prompt

Key Features

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[Large context window]: GPT-4 can consider up to 128K tokens (roughly 100,000 words) of context.

[Multimodal capabilities]: GPT-4 Vision can understand images in addition to text.

[Fine-tuning]: You can customize GPT models for specific tasks or domains.

[Function calling]: GPT can call external tools and APIs to perform actions.

Common Use Cases

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  • [Chatbots and assistants]: Customer support, personal assistants
  • [Content creation]: Writing articles, generating ideas, creating marketing copy
  • [Code generation]: Writing code, explaining code, debugging
  • [Education]: Tutoring, explaining concepts, answering questions
  • [Analysis]: Summarizing documents, extracting information, data analysis

Limitations

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  • [Can make mistakes]: GPT can confidently state incorrect information
  • [No real-time knowledge]: Training data has a cutoff date
  • [Cost]: Can be expensive for high-volume applications
  • [Rate limits]: Usage is subject to API rate limits

GPT has become the foundation for many AI applications and is a great starting point for understanding modern language models.