GPT-4

The advent of artificial intelligence has transformed many industries, and one of the most notable advancements is OpenAI’s Generative Pretrained Transformer 4 (GPT-4). Released in March 2023, GPT-4 represents a significant leap forward in natural language processing (NLP) and multimodal capabilities. This blog post dives into the intricacies of GPT-4, exploring its features, improvements over previous models, and potential applications.

What is GPT-4?

GPT-4 is a large multimodal model that can process both text and images, providing users with a versatile tool for a variety of tasks. It builds on the foundations laid by its predecessors, particularly GPT-3 and GPT-3,5, improving the ability to generate human-like text responses while interpreting visual data. The model is designed to perform a wide range of functions, including, but not limited to:
  • Text generation: creating articles, stories and creative writing.
  • Translation : Convert text between languages.
  • Writing code: help developers by generating code snippets.
  • Processing visual inputs: analyze and respond to images.
OpenAI describes GPT-4 as exhibiting “human-level performance” on several professional and academic benchmarks, indicating its advanced capabilities over previous models.

Key Features of GPT-4

Key Features of GPT-4

1. Multimodal capabilities
One of the notable features of GPT-4 is its ability to process both text and images. This multimodal feature allows users to input images alongside text prompts, enabling a richer interaction experience. For example, users can ask questions about an image or request descriptions of visual content. This capability opens new avenues for applications in areas such as education, healthcare, and content creation.

2. Improved contextual understanding
GPT-4 can handle significantly larger contexts than its predecessors. It can process up to 25 words in a single interaction, eight times more than GPT-000. This expanded contextual range allows for more nuanced conversations and the ability to maintain coherence over longer discussions. Users can also provide links to web pages that GPT-3,5 can analyze without having to manually copy and paste text.

3. Improved creativity
OpenAI has highlighted that GPT-4 excels at creative tasks. It can collaborate with users on projects involving music composition, screenwriting, and technical writing. The model can learn from user interactions to adapt its style, making it a valuable tool for artists and writers looking for inspiration or assistance.

4. Processing visual inputs
The introduction of GPT-4 Vision marks a significant leap forward in AI capabilities. This feature allows the model to analyze images and engage in natural language conversations about their content. Users can ask questions related to the images or request detailed descriptions, making it applicable in fields such as education, healthcare, and creative industries.

5. Security and reliability improvements
Safety was a priority in the development of GPT-4. OpenAI claims that the model generates 40% more objective responses than its predecessor and is 82% less likely to produce inappropriate content. These improvements are attributed to extensive testing and feedback from AI safety and ethics experts.

Types of visual data interpreted by GPT-4

photographs: It can analyze and provide information based on standard images, identifying objects and their relationships in the scene.
Screenshots: GPT-4 can interpret content from screenshots, which can include text, images, and graphical elements.

Documents: This includes printed and handwritten text in documents. GPT-4 can decipher and understand the content of these texts, making it useful for analyzing historical manuscripts or modern documents.

Charts and graphs: The model excels in interpreting data visualizations such as charts and graphs. It can analyze trends, compare data points, and provide insights based on the visual representation of information.

Maps: GPT-4 can interpret geographic data presented in map formats, enabling analysis related to spatial relationships and geographic features.

Sketch: It can also analyze sketches, which may include diagrams or rough drawings, providing information based on the concepts represented.

These capabilities make GPT-4 Vision a versatile tool for various applications, including academic research, data analysis, content creation, and accessibility for visually impaired users. Its ability to connect visual understanding with textual analysis enhances its functionality in different domains.

GPT-4 handles visual inputs versus text inputs

GPT-4 represents a significant advancement in AI capabilities, particularly with its ability to handle both visual and textual input. Here’s a comparison of how GPT-4 handles these two types of input:

Visual inputs

Visual inputs

  • Multimodal functionality: GPT-4 is a multimodal model, which means it can accept images as inputs alongside the text. This allows users to upload photographs, screenshots and documents for analysis and interaction.
  • Capacities: When processing visual inputs, GPT-4 can perform various tasks such as:
    • Object detection: Identify and provide information about objects in images.
    • Data Analysis: Interpret charts, graphs, and other data visualizations to extract insights.
    • Text decipherment: reading and interpreting handwritten notes or printed texts contained in images.
    • Interaction style: Users can engage in conversations with GPT-4 about the content of the images, asking questions or giving instructions based on the visual data presented.

Text entries

Text entries

  • Traditional language processing: Text inputs are processed using established language modeling techniques. GPT-4 excels at understanding context, generating coherent responses, and following complex instructions thanks to its larger context window – capable of handling up to 128 tokens compared to previous models.
  • Text generation and summarization: The model can generate text, summarize information, and answer questions based on its extensive training data. It maintains a high level of accuracy and relevance when answering text prompts.
In summary, GPT-4’s ability to handle visual inputs enhances its capabilities beyond traditional text-based interactions. This multimodal approach enables richer user experiences and broader applications in various domains.

Access by subscription

To access GPT-4, you have several options depending on whether you prefer a subscription model or free alternatives. Here's an overview of how to access them:
  1. ChatGPT Plus / Pro:
    1. ChatGPT Plus subscription for $20 or ChatGPT Pro for $200 per month gives you access to GPT-4. You can use it via the web app Chat GPT.
  2. OpenAI API:
    1. If you are a developer, you can access GPT-4 through the OpenAI API. To do this, you need to sign up for an OpenAI account and make sure you have made a payment of at least $5. This will allow you to select GPT-4 in the API settings

Differences between GPT-3,5 and GPT-4

Although both models share fundamental technology, several key differences set them apart:
Differences between GPT-3,5 and GPT-4
Characteristic
GPT-3,5
GPT-4
Types of entries
Text only
Text and images
Context length
Up to 3 words
Up to 25 words
Creativity
Basic Creative Tasks
Advanced creativity and style adaptation
Security measures
Standard security protocols
Enhanced safety features
Performance on benchmark indices
Decreased performance
Top 10% on Mock Exams

These improvements make GPT-4 not only more powerful, but also more user-friendly for various applications in different industries.

GPT-4 marks a milestone in the evolution of artificial intelligence and natural language processing. With its enhanced capabilities in creativity, contextual understanding, and multimodal input processing, it stands out as a powerful tool in various fields – from education to healthcare and beyond.