Linking pages
- NASA Hit By 366% Rise In Cybersecurity Incidents After Budget Cuts https://www.forbes.com/sites/simonchandler/2020/06/08/nasa-hit-by-366-rise-in-cybersecurity-incidents-after-budget-cuts/#1f41d7425b31 37 comments
- Is Artificial Intelligence Set To Take Over The Art Industry? https://www.forbes.com/sites/anniebrown/2021/09/06/is-artificial-intelligence-set-to-take-over-the-art-industry/?sh=3b28418833c5 8 comments
- I made a browser extension that allows ChatGPT to access external sites and get current events | by Seamus James | Feb, 2023 | Medium https://medium.com/@seamusjames/i-made-a-browser-extension-that-allows-chatgpt-to-access-external-sites-and-get-current-events-497ee1b55bf5 2 comments
Linked pages
- ChatGPT is 'not particularly innovative,' and 'nothing revolutionary', says Meta's chief AI scientist | ZDNET https://www.zdnet.com/article/chatgpt-is-not-particularly-innovative-and-nothing-revolutionary-says-metas-chief-ai-scientist/ 1054 comments
- DALL·E: Creating Images from Text https://openai.com/blog/dall-e/ 461 comments
- [2205.01068] OPT: Open Pre-trained Transformer Language Models https://arxiv.org/abs/2205.01068 318 comments
- [2005.14165] Language Models are Few-Shot Learners https://arxiv.org/abs/2005.14165 201 comments
- chinchilla's wild implications - LessWrong https://www.lesswrong.com/posts/6Fpvch8RR29qLEWNH/chinchilla-s-wild-implications 32 comments
- Forbes https://www.forbes.com/#79b70b222254 19 comments
- AI And The Limits Of Language https://www.noemamag.com/ai-and-the-limits-of-language/ 17 comments
- [2002.08909] REALM: Retrieval-Augmented Language Model Pre-Training https://arxiv.org/abs/2002.08909 13 comments
- https://arxiv.org/pdf/2112.04426.pdf 12 comments
- Aligning language models to follow instructions https://openai.com/blog/instruction-following/ 11 comments
- [2210.11610] Large Language Models Can Self-Improve https://arxiv.org/abs/2210.11610 11 comments
- https://arxiv.org/abs/2101.03961 4 comments
- [2112.09332] WebGPT: Browser-assisted question-answering with human feedback https://arxiv.org/abs/2112.09332 3 comments
- [2209.01667] A Review of Sparse Expert Models in Deep Learning https://arxiv.org/abs/2209.01667 1 comment
- [2112.06905] GLaM: Efficient Scaling of Language Models with Mixture-of-Experts https://arxiv.org/abs/2112.06905 1 comment
- OpenAI unveils multitalented AI that writes, translates, and slanders - The Verge https://www.theverge.com/2019/2/14/18224704/ai-machine-learning-language-models-read-write-openai-gpt2 1 comment
- [2211.04325] Will we run out of data? Limits of LLM scaling based on human-generated data https://arxiv.org/abs/2211.04325 1 comment
- Holistic Evaluation of Language Models (HELM) https://crfm.stanford.edu/helm/latest/ 1 comment
- [2212.10560] Self-Instruct: Aligning Language Model with Self Generated Instructions https://arxiv.org/abs/2212.10560 1 comment
- [2204.02311] PaLM: Scaling Language Modeling with Pathways https://arxiv.org/abs/2204.02311 0 comments
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