[ad_1] OpenAI is developing a research program to assess the economic impacts of code generation models and...
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[ad_1] Goodhart’s law famously says: “When a measure becomes a target, it ceases to be a good measure.”...
[ad_1] Contrastive models like CLIP have been shown to learn robust representations of images that capture both...
[ad_1] We show that a GPT-3 model can learn to express uncertainty about its own answers in...
[ad_1] Pipeline parallelism splits a model “vertically” by layer. It’s also possible to “horizontally” split certain operations...
[ad_1] We trained “critique-writing” models to describe flaws in summaries. Human evaluators find flaws in summaries much...
[ad_1] This paper pursues the insight that large language models (LLMs) trained to generate code can vastly...
[ad_1] The internet contains an enormous amount of publicly available videos that we can learn from. You...
[ad_1] We observed that our internal predecessors to DALL·E 2 would sometimes reproduce training images verbatim. This...
[ad_1] Codex, a large language model (LLM) trained on a variety of codebases, exceeds the previous state...
