GPT-4

GPT-4: OpenAI's Cutting-Edge Multimodal AI Model

What is GPT-4? GPT-4 is the latest milestone in OpenAI's effort to scale up deep learning, succeeding GPT-3.5. It is a large multimodal model, accepting both image and text inputs and emitting text outputs. While it may not surpass human capabilities in every real-world scenario, GPT-4 exhibits human-level performance across a variety of professional and academic benchmarks.

Key Features and Capabilities

• Multimodal Input: GPT-4 accepts both image and text as input, allowing for a broader range of applications.
• Improved Performance: Demonstrates significantly improved performance compared to GPT-3.5 on exams and benchmarks.
• Factuality and Steerability: GPT-4 has been iteratively aligned using lessons from adversarial testing and ChatGPT, resulting in better factuality, steerability, and adherence to safety guidelines.
• Multilingual Capabilities: Outperforms GPT-3.5 in most languages tested, including low-resource languages.
• Customizable AI Style: Developers can prescribe their AI's style and task through system messages, allowing for greater customization.

How does GPT-4 work?

GPT-4 was trained using publicly available data and data licensed by OpenAI. It predicts the next word in a document and is fine-tuned using reinforcement learning with human feedback (RLHF) to align it with user intent and safety guidelines.

GPT-4 Applications and Use Cases

GPT-4 is being used internally at OpenAI for various functions, including support, sales, content moderation, and programming. It is also assisting humans in evaluating AI outputs.

GPT-4 can be applied across a wide range of domains, including:

• AI-powered Chatbots: Enhanced conversational abilities make it ideal for customer service and interactive applications.
• Content Generation: Create high-quality articles, blog posts, marketing copy, and more.
• Code Generation: Assist developers in writing code and identifying vulnerabilities.
• Data Analysis: Analyze complex datasets and extract valuable insights.
• Research: Aid in scientific research by generating hypotheses and analyzing data.

Who is GPT-4 For?

GPT-4 is designed for a broad audience, including:

• Developers: Utilize the GPT-4 API to build innovative AI-powered applications.
• Businesses: Enhance customer service, automate tasks, and improve decision-making.
• Researchers: Conduct cutting-edge research and explore the potential of AI.
• Educators: Create engaging learning experiences and personalize education.

Limitations and Risks

Despite its advanced capabilities, GPT-4 has limitations. It can still make reasoning errors, "hallucinate" facts, and exhibit biases in its outputs. OpenAI has implemented various mitigations to address these risks, including:

• Data Filtering: Selection and filtering of pretraining data to reduce harmful content.
• Expert Engagement: Engaging experts to adversarially test the model and identify vulnerabilities.
• Safety Improvements: Incorporating an additional safety reward signal during RLHF training to reduce harmful outputs.

Accessing GPT-4

• ChatGPT Plus: Subscribers can access GPT-4 on chatgpt.com with a usage cap.
• API: Access to the GPT-4 API is available via a waitlist. Pricing is tiered based on usage.

Predictable Scaling

A key focus of the GPT-4 project was building a deep learning stack that scales predictably. This involved developing infrastructure and optimization techniques that exhibit consistent behavior across multiple scales. As a result, OpenAI was able to accurately predict GPT-4's final loss on its internal codebase by extrapolating from models trained using 10,000x less compute.

Conclusion

GPT-4 represents a significant advancement in AI technology, offering improved performance, multimodality, and steerability. While it has limitations and risks, OpenAI is committed to addressing these challenges and ensuring that GPT-4 is used responsibly to benefit society.