GPT-4 - ai tOOler
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GPT-4
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Large Language Models (23)

GPT-4

Increasing the use of deep learning with GPT-4.

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Tool Information

GPT-4 is a cutting-edge tool that enhances how users interact with both text and images, making it incredibly useful for a range of tasks.

OpenAI has taken a big step forward with the development of GPT-4, following up on its previous version, GPT-3.5. This new version isn't just an upgrade; it's a large, multimodal model capable of understanding both text and images. This means that it can take input in the form of pictures and written content, and then provide thoughtful text responses. It’s designed to perform at a human-like level across many professional and academic standards.

What really sets GPT-4 apart is its reliability and creativity. It can handle more complicated requests than its predecessor, particularly when tasks become more intricate. With its powerful abilities, users can give it any text or visual tasks, and it will process that information to generate meaningful text outputs. This is particularly helpful for those looking to get insights or support that blends both words and visuals.

Image inputs are a significant aspect of GPT-4’s functionality, enabling it to work with various documents that might include text, photos, diagrams, or screenshots. Although it demonstrates similar capabilities with text-only inputs, access to image input features is still in development and not yet available to the public.

For now, users can access the text features of GPT-4 through ChatGPT and its API, while enhancements for image inputs are on the way. The improvements found in GPT-4 not only highlight its greater reliability and inventiveness compared to earlier versions but also show its versatility across different fields like customer support, sales, content moderation, and even programming.

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Pros and Cons

Pros

  • Stronger results on professional tests
  • Superior performance on academic tests
  • Used in support and sales
  • Customizable experience for API users
  • Handles complex tasks more effectively
  • High performance in various languages
  • Gives text outputs
  • Supports low-resource languages
  • More safety signals during training
  • Less chance of making things up
  • Works with documents that have text and photos
  • Can understand contradictory statements
  • Great performance on traditional machine learning tests
  • Does better than large language models
  • Useful in programming
  • Handles screenshots well
  • Better control over accuracy
  • Much improved safety features
  • Excellent on TruthfulQA test
  • More reliable
  • Handles detailed instructions
  • Works with many ideas and beliefs
  • Fine-tuning through human-reviewed learning
  • Enhanced input options for text and images
  • Widely used in content moderation
  • Advanced model-level techniques for better control of behavior
  • Accepts image and text inputs
  • Can be guided to match what the user wants
  • Can process diagrams
  • Works well with large data sets
  • Better alignment strategy
  • Predictable training growth
  • Available through ChatGPT and API
  • Does better than top models
  • Less response to forbidden content

Cons

  • Image input not open to the public
  • Makes mistakes in reasoning
  • Often wrong predictions with confidence
  • Less skilled than humans
  • Data limited to 2021
  • Can create false information
  • Not completely trustworthy yet
  • Doesn't learn from past experience
  • Might cause security issues
  • Output code can have bugs

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Applicable Tasks

Deep Learning OpenAI GPT-4 Multimodal Model Text Processing Image Processing