오픈AI
노트
위키데이터
- ID : Q21708200
말뭉치
- We expect the primary benefits of this grant to stem from our partnership with OpenAI, rather than simply from contributing funding toward OpenAI’s work.[1]
- When OpenAI launched, it characterized the nature of the risks - and the most appropriate strategies for reducing them - in a way that we disagreed with.[1]
- Since then, OpenAI has put out more recent content consistent with the latter view, and we are no longer aware of any clear disagreements.[1]
- We see OpenAI and DeepMind as the two organizations currently best fitting the above description (based in large part on the views of our technical advisors).[1]
- This spring, the Elon-Musk-founded AI research lab OpenAI made a splash with an AI system that generates text.[2]
- This month, OpenAI released a more powerful version (though still significantly limited compared to the whole thing).[2]
- OpenAI initially decided not to release the full system to the public, out of fears it could be used by malicious actors to swamp us all with fake news.[2]
- One task that OpenAI used to test the capabilities of GPT-2 is a famous test in machine learning known as the Winograd schema test.[2]
- May. It follows GPT-2, which OpenAI chose not to release widely last year because it thought it was too dangerous.[3]
- Now, OpenAI wants to put the same power to more commercial uses such as coding and data entry.[4]
- It will mark the first commercial uses of a technology which stunned the industry in February 2019 when OpenAI first revealed its progress in teaching a computer to read and write.[4]
- According to Brockman, the partnership was motivated in part by OpenAI’s continued pursuit of enormous computational power.[5]
- “OpenAI is producing a sequence of increasingly powerful AI technologies, which requires a lot of capital,” Brockman said.[5]
- OpenAI publishes studies in AI subfields from computer vision to natural language processing (NLP), with the stated mission of safely creating superintelligent software.[5]
- Those are just some of the recent stories written about GPT-3, the latest contraption of artificial intelligence research lab OpenAI.[6]
- But what has been less discussed is how GPT-3 has transformed OpenAI itself.[6]
- In March 2019, OpenAI announced that it would be transitioning from a non-profit lab to a “capped-profit” company.[6]
- OpenAI is not the first AI research lab to adopt a commercial model.[6]
- OpenAI is an artificial intelligence research company, funded in part by Elon Musk.[7]
- In this article, I will be using the OpenAI gym, a great toolkit for developing and comparing Reinforcement Learning algorithms.[7]
- Let’s see how to interact with the OpenAI Gym environment.[7]
- I hope you liked this article on OpenAI Gym.[7]
- OpenAI provides a complete Reinforcement Learning set of libraries that allow to train software agents on tasks, so the agents can learn by themselves how to best do the task.[8]
- In its latest development of language-generating AI, OpenAI has created GPT-3, its most massive language model to date.[9]
- OpenAI has developed a new AI software called Generative Pre-Trained Transformer 3, or more commonly GPT-3.[9]
- OpenAI even added a filter to the GPT-2 to disguise the problem of mimicking bigotry by limiting the model’s ability to talk about sensitive subjects.[9]
- To work around the problem, OpenAI has added a filter to a newer model of the GPT-3, but the fix may just be a band-aid at this point.[9]
- Summary: I share my early experiments with OpenAI's new language prediction model (GPT-3) beta.[10]
- I was recently watching a podcast about how OpenAI built their latest language model and it made me wonder what could be done with a system like this.[10]
- While OpenAI GPT-3 does seem to be able to predict replies, it does not always predict replies to its own posts, nor do its predicted replies tend to be relevant or even grammatically correct.[10]
- I received access to OpenAI API yesterday and have been posting some unbelievable results on twitter.[10]
- If you’ve ever wanted to try out OpenAI’s vaunted machine learning toolset, it just got a lot easier.[11]
- Basically, if you’ve got a task that requires understanding words in English, OpenAI wants to help automate it.[11]
- So far OpenAI has partnered with a dozen or so companies to test out the API ahead of offering it more widely.[11]
- An artificial intelligence research lab, OpenAI needed infrastructure for deep learning that would allow experiments to be run either in the cloud or in its own data center, and to easily scale.[12]
- OpenAI began running Kubernetes on top of AWS in 2016, and in early 2017 migrated to Azure.[12]
- OpenAI runs key experiments in fields including robotics and gaming both in Azure and in its own data centers, depending on which cluster has free capacity.[12]
- With a mission to ensure powerful AI systems are safe, OpenAI cares deeply about open source—both benefiting from it and contributing safety technology into it.[12]
- OpenAI is moving to PyTorch for the bulk of their research work.[13]
- In deep learning research-related news, OpenAI has recently made the decision to standardize its research modeling by using PyTorch.[13]
- Until now, OpenAI had used a variety of frameworks for its deep learning research projects and implementations.[13]
- Alongside this announcement, OpenAI has released a PyTorch version of its deep reinforcement learning educational resource, Spinning Up in Deep RL.[13]
- “OpenAI stated that GPT-3 succeeds at certain “meta-learning” tasks.[14]
- OpenAI has a leading stance in the artificial intelligence research space.[15]
- OpenAI’s mission is to be the first to create artificial general intelligence (AGI); not to lead the world, but to ensure that it benefits all of humanity.[15]
- Prior to this, in June 2020, OpenAI released an API for accessing new AI models.[15]
- In April 2019, OpenAI created MuseNet, a deep neural network that can generate 4-minute musical compositions with 10 different instruments.[15]
- Since then, you’ve probably already seen OpenAI’s announcement of their groundbreaking GPT-3 model – an autoregressive language model that outputs remarkably human-like text.[16]
- OpenAI will continue to offer GPT-3 and other powerful models via its own Azure-hosted API, launched in June.[16]
- The researchers at OpenAI are striving hard to complete their mission of ensuring the benefits of AI to all of humanity.[17]
- In September, OpenAI announced the launch of a general-purpose “text in, text out” interface, which will allow its users to try any English language task virtually.[17]
- In July, OpenAI announced the support for the National Research Cloud initiative in order to direct more computations to academia.[17]
- The same month, OpenAI stated in a blog post that a large transformer model trained on pixel sequences could create coherent image completions along with samples.[17]
- Every year, OpenAI’s employees vote on when they believe artificial general intelligence, or AGI, will finally arrive.[18]
- In the four short years of its existence, OpenAI has become one of the leading AI research labs in the world.[18]
- OpenAI wants to be that shepherd, and it has carefully crafted its image to fit the bill.[18]
- Attaining AGI safely is so important, it continues, that if another organization were close to getting there first, OpenAI would stop competing with it and collaborate instead.[18]
- OpenAI’s researchers knew they were on to something when their language modeling program wrote a convincing essay on a topic they disagreed with.[19]
- “To be clear, that only happens a small fraction of the time,” says OpenAI research director Dario Amodei.[19]
- OpenAI’s new algorithm, named GPT-2, is one of the most exciting examples yet.[19]
- For that reason, OpenAI is treading cautiously with the unveiling of GPT-2.[19]
- In June 2020, OpenAI announced GPT-3, a language model trained on trillions of words from the Internet.[20]
- While OpenAI pays corporate-level (rather than nonprofit-level) salaries, it doesn't currently pay AI researchers salaries comparable to those of Facebook or Google.[20]
- OpenAI states that AI "should be an extension of individual human wills and, in the spirit of liberty, as broadly and evenly distributed as possible...[20]
- Conversely, OpenAI's initial decision to withhold GPT-2 due to a wish to "err on the side of caution" in the presence of potential misuse, has been criticized by advocates of openness.[20]
소스
- ↑ 1.0 1.1 1.2 1.3 OpenAI — General Support
- ↑ 2.0 2.1 2.2 2.3 A poetry-writing AI has just been unveiled. It’s ... pretty good.
- ↑ Why everyone is talking about the A.I. text generator released by an Elon Musk-backed lab
- ↑ 4.0 4.1 Elon Musk-backed OpenAI to release text tool it called dangerous
- ↑ 5.0 5.1 5.2 Microsoft invests $1 billion in OpenAI to develop AI technologies on Azure
- ↑ 6.0 6.1 6.2 6.3 The untold story of GPT-3 is the transformation of OpenAI
- ↑ 7.0 7.1 7.2 7.3 Develop & Compare Reinforcement Learning Algorithms with OpenAI Gym
- ↑ openai_ros
- ↑ 9.0 9.1 9.2 9.3 OpenAI Creates New Language-Generating AI
- ↑ 10.0 10.1 10.2 10.3 OpenAI's GPT-3 may be the biggest thing since bitcoin
- ↑ 11.0 11.1 11.2 OpenAI makes an all-purpose API for its text-based AI capabilities – TechCrunch
- ↑ 12.0 12.1 12.2 12.3 OpenAI Case Study
- ↑ 13.0 13.1 13.2 13.3 OpenAI is Adopting PyTorch… They Aren’t Alone
- ↑ OpenAI GPT-3 Past, Present and Future of AI and NLP
- ↑ 15.0 15.1 15.2 15.3 OpenAI's Artificial Intelligence Strategy
- ↑ 16.0 16.1 Microsoft teams up with OpenAI to exclusively license GPT-3 language model
- ↑ 17.0 17.1 17.2 17.3 All The AI Announcements Made By OpenAI In 2020
- ↑ 18.0 18.1 18.2 18.3 The messy, secretive reality behind OpenAI’s bid to save the world
- ↑ 19.0 19.1 19.2 19.3 OpenAI’s new multitalented AI writes, translates, and slanders
- ↑ 20.0 20.1 20.2 20.3 Wikipedia