# GPT-3

> 2020 transformer-based large language model

**Wikidata**: [Q95726734](https://www.wikidata.org/wiki/Q95726734)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/GPT-3)  
**Source**: https://4ort.xyz/entity/gpt-3

## Summary
GPT-3 (Generative Pre-trained Transformer 3) is a transformer-based large language model developed by OpenAI and released in 2020. It is designed for natural language processing and generation, capable of performing tasks like text completion, translation, and conversational AI with minimal fine-tuning.

## Key Facts
- **Release Date**: May 28, 2020.
- **Developer**: OpenAI, a U.S.-based artificial intelligence company.
- **Model Sizes**: Available in multiple versions, ranging from 125 million to 175 billion parameters, with the 175B version being the most prominent.
- **Type**: Autoregressive model, generative pre-trained transformer, and large language model.
- **Use Cases**: Natural language processing, natural language generation, and transfer learning.
- **License**: Proprietary, used via the OpenAI API.
- **Successor**: GPT-4, released on March 14, 2023.
- **Competitors**: Includes models like GPT-J, Claude, and YandexGPT, as well as chatbots like Ernie Bot and Grok.

## FAQs
### Q: What is GPT-3 used for?
A: GPT-3 is used for natural language processing tasks such as text generation, translation, summarization, and conversational AI. It can perform these tasks with minimal fine-tuning due to its large-scale pre-training.

### Q: Who developed GPT-3?
A: GPT-3 was developed by OpenAI, an artificial intelligence research organization based in the United States.

### Q: How large is GPT-3?
A: GPT-3 comes in multiple sizes, with the largest version containing 175 billion parameters, making it one of the largest language models at the time of its release.

### Q: What is the difference between GPT-3 and GPT-4?
A: GPT-4 is the successor to GPT-3, released in 2023, and includes improvements such as multimodal capabilities (handling both text and images) and enhanced performance in various tasks.

### Q: Is GPT-3 open-source?
A: No, GPT-3 is proprietary and available through the OpenAI API under a proprietary license.

## Why It Matters
GPT-3 represents a significant advancement in the field of artificial intelligence, particularly in natural language processing. Its ability to generate coherent and contextually relevant text with minimal fine-tuning has made it a cornerstone for applications ranging from chatbots to content creation tools. By leveraging large-scale pre-training and transfer learning, GPT-3 has demonstrated the potential of transformer-based models to understand and generate human-like text, pushing the boundaries of what AI can achieve in language-related tasks. Its impact extends beyond academia, influencing industries such as customer service, education, and software development, where it has enabled the creation of more sophisticated and responsive AI-driven solutions.

## Notable For
- **Scale**: One of the largest language models at its release, with up to 175 billion parameters.
- **Versatility**: Capable of performing a wide range of natural language tasks with minimal fine-tuning.
- **Influence**: Served as a foundation for subsequent models like GPT-4 and influenced the development of other large language models.
- **Accessibility**: Made available through the OpenAI API, allowing developers to integrate its capabilities into various applications.
- **Innovation**: Demonstrated the effectiveness of autoregressive models and transfer learning in natural language processing.

## Body
### Overview
GPT-3 is a transformer-based large language model developed by OpenAI. It was announced and released on May 28, 2020. The model is designed to perform natural language processing and generation tasks, leveraging large-scale pre-training and transfer learning.

### Model Versions
GPT-3 is available in multiple versions, each with a different number of parameters:
- **125M**: Small version with 125 million parameters.
- **350M**: Medium version with 350 million parameters.
- **760M**: Large version with 760 million parameters.
- **1.3B**: XL version with 1.3 billion parameters.
- **2.7B**: Version with 2.7 billion parameters.
- **6.7B**: Version with 6.7 billion parameters.
- **13B**: Version with 13 billion parameters.
- **175B**: The largest and most prominent version with 175 billion parameters.

### Technical Details
- **Type**: Autoregressive model, generative pre-trained transformer, and large language model.
- **Training**: Uses unsupervised learning and transfer learning techniques.
- **Use Cases**: Natural language processing, natural language generation, text completion, translation, and conversational AI.

### Development and Release
- **Developer**: OpenAI, a U.S.-based artificial intelligence company.
- **Release Date**: May 28, 2020.
- **License**: Proprietary, available through the OpenAI API.

### Competitors and Alternatives
GPT-3 competes with several other large language models and AI chatbots, including:
- **GPT-4**: The successor to GPT-3, released on March 14, 2023.
- **GPT-J**: A large language model developed by EleutherAI.
- **Claude**: A large language model family developed by Anthropic.
- **YandexGPT**: An artificial intelligence chatbot developed by Yandex.
- **Ernie Bot**: A chatbot developed by Baidu.
- **Grok**: A chatbot developed by xAI.

### Impact and Influence
GPT-3 has had a significant impact on the field of artificial intelligence, particularly in natural language processing. Its large scale and versatility have made it a benchmark for subsequent models and a foundation for various AI applications. The model's ability to generate coherent and contextually relevant text with minimal fine-tuning has demonstrated the potential of transformer-based models in understanding and generating human-like text.

## Schema Markup
```json
{
  "@context": "https://schema.org",
  "@type": "Thing",
  "name": "GPT-3",
  "description": "2020 transformer-based large language model developed by OpenAI.",
  "url": "https://arxiv.org/abs/2005.14165",
  "sameAs": [
    "https://www.wikidata.org/wiki/Q98292236",
    "https://en.wikipedia.org/wiki/GPT-3"
  ],
  "additionalType": [
    "LargeLanguageModel",
    "AutoregressiveModel",
    "GenerativeModel"
  ],
  "developer": {
    "@type": "Organization",
    "name": "OpenAI"
  },
  "datePublished": "2020-05-28",
  "version": "175B",
  "license": "Proprietary"
}

## References

1. [Source](https://www.makeuseof.com/gpt-models-explained-and-compared)
2. Language Models are Few-Shot Learners
3. [Source](https://api.github.com/repos/openai/gpt-3)
4. Know Your Meme