Summarizing books with human feedback
OpenAI explores book summarization with human feedback to improve oversight of AI systems on tasks difficult to evaluate automatically.
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OpenAI explores book summarization with human feedback to improve oversight of AI systems on tasks difficult to evaluate automatically.
Hugging Face and Graphcore partner to optimize Transformers for IPU (Intelligence Processing Units). The partnership aims to improve training and inference performance of models on Graphcore's proprietary hardware architecture.
Hugging Face releases Optimum, an optimization toolkit for scaling Transformer models. It includes quantization, distillation, and compilation to reduce latency and memory consumption in production.
OpenAI releases TruthfulQA, a benchmark measuring language models' ability to provide factual answers rather than mimicking common human misconceptions. The dataset contains adversarial questions designed to test whether models reproduce popular false beliefs.
Helen Toner joins OpenAI's board of directors. An AI policy and safety expert, she brings governance expertise to the organization.