PhD student at Lamarr Institute / TU Dortmund 🧑🎓 Working on making ML & AI more trustworthy, resource-aware and sustainable 🌱🌎 Musician on the side 🎶
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![This report focuses on the capabilities, limitations, and safety properties of GPT-4. GPT-4 is a
Transformer-style model [33] pre-trained to predict the next token in a document, using both publicly
available data (such as internet data) and data licensed from third-party providers. The model was
then fine-tuned using Reinforcement Learning from Human Feedback (RLHF) [34]. Given both
the competitive landscape and the safety implications of large-scale models like GPT-4, this report
contains no further details about the architecture (including model size), hardware, training compute,
dataset construction, training method, or similar.
We are committed to independent auditing of our technologies, and shared some initial steps and
ideas in this area in the system card accompanying this release.2 We plan to make further technical
details available to additional third parties who can advise us on how to weigh the competitive and
safety considerations above against the scientific value of fur](https://pbs.twimg.com/media/FrMlVuNXsBsvq75.jpg?name=orig)
ALT This report focuses on the capabilities, limitations, and safety properties of GPT-4. GPT-4 is a Transformer-style model [33] pre-trained to predict the next token in a document, using both publicly available data (such as internet data) and data licensed from third-party providers. The model was then fine-tuned using Reinforcement Learning from Human Feedback (RLHF) [34]. Given both the competitive landscape and the safety implications of large-scale models like GPT-4, this report contains no further details about the architecture (including model size), hardware, training compute, dataset construction, training method, or similar. We are committed to independent auditing of our technologies, and shared some initial steps and ideas in this area in the system card accompanying this release.2 We plan to make further technical details available to additional third parties who can advise us on how to weigh the competitive and safety considerations above against the scientific value of fur
ALT The Lamarr Blog features a post by author Raphael Fischer. The article in the category Basics is titled, "Wie lässt sich die Energieeffizienz von maschinellen Lernmodellen untersuchen?"
ALT Ministerin Ina Brandes und Ministerpräsident Hendrik Wüst mit den Direktoren des Lamarr-Instituts.