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OpenAI Website

This dataset includes the OpenAI website, which contains a wealth of information about OpenAI, their mission, research, publications, and team members, among other things. Additionally, the website features a blog section that showcases insights, thoughts, and commentary on AI-related topics written by OpenAI employees and collaborators.

created byPetko D. PetkovPetko D. Petkov
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Dataset Records

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  • record.text
    Record
    {
  "id": "cleubcq0a000cla089gltyyfe-0129a9abeef35ea69f558cc2e22b344e",
  "text": "...://openai.com/research/learning-complex-goals-with-iterated-amplification/product] * GPT-4 [https://openai.com/research/learning-complex-goals-with-iterated-amplification/product/gpt-4] * DALL·E 2 [https://openai.com/research/learning-complex-goals-with-iterated-amplification/product/dall-e-2] * Customer stories [https://openai.com/research/learning-complex-goals-with-iterated-amplification/customer-stories] * Safety standards [https://openai.com/research/learning-complex-goals-with-iterated-amplification/safety-standards] * Pricing [https://openai.com/research/learning-complex-goals-with-iterated-amplification/pricing] SAFETY * Overview [https://openai.com/research/learning-complex-goals-with-iterated-amplification/safety] COMPANY * About [https://openai.com/research/learning-complex-goals-with-iterated-amplification/about] * Careers [https://openai.com/research/learning-complex-goals-with-iterated-amplification/careers] * Blog [https://openai.com/research/learning-complex-goals-with-iterated-amplification/blog] * Charter [https://openai.com/research/learning-complex-goals-with-iterated-amplification/charter] OpenAI 2015 – 2023Terms & policies [https://openai.com/research/learning-complex-goals-with-iterated-amplification/..."
}

  • record.text
    Record
    {
  "id": "cleubcq0a000cla089gltyyfe-2c8883279011591e91c5c15269e30291",
  "text": "...91. One of our type systems, discovered by beam search, includes types such as Aviation, Clothing, and Games (as well as surprisingly specific ones like 1754 in Canada—indicating 1754 was an exciting year in the dataset of 1,000 Wikipedia articles it was trained on); you can also view the full [https://cdn.openai.com/discovering-types-for-entity-disambiguation/greedy.txt] type system. INFERENCE Predicting entities in a document usually relies on a \"coherence\" metric between different entities, e.g., measuring how well each entity fits with each other, which is O(N^2) in the length of the document. Instead, our runtime is O(N) as we need only to look up each phrase in a trie which maps phrases to their possible meanings. We rank each of the possible entities according to the link frequency seen in Wikipedia, refined by weighting each entity by its likelihood under the type classifier. New entities can be added just by specifying their type memberships (person, animal, country of origin, time period, etc.). NEXT STEPS Our approach has many differences to previous work on this problem. We're interested in how well end-to-end learning of distributed representations [https://en.wikipedia.org/wiki/Word2vec] performs in comparison to the type-based inference we developed here. The type systems here were discovered using a small Wikipedia subset; scaling to all of Wikipedia could discover a type system with broad application. We hope you find our code [https://github.com/openai/deeptype] useful! If you'd like to help push research like this forward, please apply [https://openai.com/jobs/] to OpenAI! https://openai.com/research/discovering-types-for-entity-disambiguation/ RESEARCH..."
}

  • record.text
    Record
    {
  "id": "cleubcq0a000cla089gltyyfe-bedaee093d63518da2d58aee825666cc",
  "text": "...blog/spinning-up-in-deep-rl-workshop-review/safety-standards] * Pricing [https://openai.com/blog/spinning-up-in-deep-rl-workshop-review....../pricing] SAFETY * Overview [https://openai.com/blog/spinning-up-in-deep-rl-workshop-review/safety] COMPANY * About [https://openai.com/blog/spinning-up-in-deep-rl-workshop-review/about] * Careers [https://openai.com/blog/spinning-up-in-deep-rl-workshop-review/careers] * Blog [https://openai.com/blog/spinning-up-in-deep-rl-workshop-review/blog] * Charter [https://openai.com/blog/spinning-up-in-deep-rl-workshop-review/charter] OpenAI 2015 – 2023Terms & policies [https://openai.com/blog/spinning-up-in-deep-rl-workshop-review/policies] SOCIAL * Twitter [https://twitter.com/OpenAI] * YouTube [https://youtube.com/OpenAI] * GitHub [https://github.com/openai] * SoundCloud [https://soundcloud.com/openai_audio] * LinkedIn [https://www.linkedin.com/company/openai]"
}

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