The Data Understanding team is responsible for creating the high quality datasets and their quantized representation for OpenAI.
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The Data Understanding team is responsible for creating the high quality datasets and their quantized representation for OpenAI.
The Interpretability team studies internal representations of deep learning models. We are interested in using representations to understand model behavior, and in engineering models to have more understandable representations.
The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society, and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering…
OpenAI · 11mo ago
The Post Training team is responsible for training and improving pre-trained models to be deployed into ChatGPT, the API, and potential future products.
The Workload Networking team is responsible for the collective communication stack used in our largest training jobs.
Safety Research at OpenAI is responsible for ensuring our most capable models can be safely deployed in the real world.
The Interpretability team studies internal representations of deep learning models. We are interested in using representations to understand model behavior, and in engineering models to have more understandable representations.
The CoT Monitorability team at OpenAI studies whether and when the chain-of-thought of frontier reasoning models is monitorable enough to support scalable oversight.
Profile end-to-end training runs to identify performance bottlenecks across compute, communication, and storage. Optimize GPU utilization and throughput for large-scale distributed model training.
The Alignment team at OpenAI is dedicated to ensuring that our AI systems are safe, trustworthy, and consistently aligned with human values, even as they scale in complexity and capability.
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