Contents
Exploring Chatgpt
The Future of Human-Machine Conversations: Meet ChatGPT
Behind the Scenes: How We Trained ChatGPT
ChatGPT is the result of a sophisticated training process that involves reinforcement learning from human feedback (RLHF). This approach allows the model to learn from interactions with humans and improve its performance over time. The training process was conducted using the same methods as InstructGPT, but with some key differences in the data collection setup.
To create a reward model for RLHF, we collected comparison data by randomly selecting model-written messages, sampling alternative completions, and having human trainers rank them. This data was then used to fine-tune the model using Proximal Policy Optimization. The process was repeated several times to ensure that ChatGPT became as proficient as possible.
Meet the Model: ChatGPT
ChatGPT is fine-tuned from a model in the GPT-3.5 series, which finished training in early 2022. This model was trained on an Azure AI supercomputing infrastructure and has undergone substantial reductions in harmful and untruthful outputs through the use of RLHF.
We’re excited to make ChatGPT available for users to provide feedback and learn about its strengths and weaknesses. During the research preview, usage of ChatGPT is free. You can try it now at chatgpt.com.
We want to hear from you! We’re particularly interested in feedback regarding harmful outputs that could occur in real-world, non-adversarial conditions. You can choose to enter the ChatGPT Feedback Contest for a chance to win up to $500 in API credits. Simply submit your feedback through the UI, and we’ll take it into consideration.
By participating in this contest, you’re not only helping us improve ChatGPT but also contributing to a larger effort to create safer and more reliable AI systems. So, what are you waiting for? Start exploring ChatGPT today and share your thoughts on how it can be improved.
The Future of AI: What’s Next?
As we continue to develop and refine our AI models, we’re reminded that there’s still much work to be done. The lessons learned from this release will inform the deployment of more capable systems in the future. We’re committed to iteratively improving our technology and creating safer, more useful AI systems for everyone.
So, what do you think? Are you ready to engage with ChatGPT and help shape the future of human-machine conversations? Let’s get started!
