Overview

  • Founded Date June 29, 1976
  • Sectors IT & Information Security
  • Posted Jobs 0
  • Viewed 3

Company Description

GPT-4 is OpenAI’s a Lot of Advanced System, Producing Safer and Better Responses

Following the research path from GPT, GPT-2, and GPT-3, our deep learning technique leverages more information and more calculation to create progressively advanced and capable language models.

We spent 6 months making GPT-4 safer and more aligned. GPT-4 is 82% less likely to react to ask for disallowed content and 40% most likely to produce accurate actions than GPT-3.5 on our internal evaluations.

Safety & alignment

Training with human feedback We included more human feedback, consisting of feedback submitted by ChatGPT users, to enhance GPT-4’s behavior. We also dealt with over 50 professionals for early feedback in domains consisting of AI security and security.

Continuous enhancement from real-world use We’ve used lessons from real-world usage of our previous designs into GPT-4‘s security research study and monitoring system. Like ChatGPT, we’ll be updating and improving GPT-4 at a routine cadence as more individuals use it.

GPT-4-assisted security research GPT-4‘s advanced thinking and instruction-following capabilities accelerated our security work. We used GPT-4 to help produce training data for model fine-tuning and repeat on classifiers throughout training, examinations, and monitoring.

Built with GPT-4

We have actually worked together with companies constructing innovative products with GPT-4.

GPT-4 deepens the conversation on Duolingo.

Be My Eyes uses GPT-4 to transform visual availability.

Stripe leverages GPT-4 to streamline user experience and fight scams.

Morgan Stanley wealth management deploys GPT-4 to arrange its huge understanding base.

explores the potential for GPT-4 in a restricted pilot program.

How Iceland is using GPT-4 to preserve its language.

More on GPT-4

Research.
GPT-4 is the latest turning point in OpenAI’s effort in scaling up deep knowing.
View GPT-4 research

Infrastructure.
GPT-4 was trained on Microsoft Azure AI supercomputers. Azure’s AI-optimized infrastructure likewise allows us to deliver GPT-4 to users worldwide.

Limitations.
GPT-4 still has lots of recognized restrictions that we are working to address, such as social biases, hallucinations, and adversarial prompts. We encourage and help with openness, user education, and broader AI literacy as society embraces these designs. We also aim to broaden the opportunities of input people have in forming our designs.