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#ai Simple yet deep. I love this piece of work. Nylund, Kai, Suchin Gururangan, and Noah A. Smith. 2023. “Time Is Encoded in the Weights of Finetuned Language Models.” arXiv [Cs.CL]. arXiv. http://arxiv.org/abs/2312.13401.

#ai Looks like Gemini is a handy tool for researchers. https://www.youtube.com/watch?v=sPiOP_CB54A

#ai https://www.stateof.ai/2023-report-launch

#ai Plotting Progress in AI - Contextual AI https://contextual.ai/plotting-progress-in-ai/

Веселого Рождества! Для тех, кто отмечает этот праздник. Изображение: Татьяна Княжицкая + AI #AI

https://ai-2027.com “We predict that the impact of superhuman AI over the next decade will be enormous, exceeding that of the Industrial Revolution.” 不管怎样，这个页面的 interaction 很棒 #ai

三家顶尖AI同时在今日开放API OpenAI GPT-4 API (万众瞩目) Google PaLM API (5400亿参数量的业界顶尖模型) Anthropic Claude API (GPT-3首席工程师、研究副总裁等11位OpenAI成员出走建立) Baidu ERNIE Bot (文心一言16日14点发布会不见不散) via 🏷 TAG #AI 📢 Channel @ednovas2 👥 Group @ednovas4

🌐Mapping Global AI Leadership: Stanford's Vibrancy Tool Unveiled Stanford University's HAI has released the Global AI Vibrancy Tool, a groundbreaking resource for comparing AI development across 36 countries. Using 42 indicators grouped into 8 pillars, this interactive visualization evaluates nations' AI progress while offering transparency and customization based on user preferences. The tool not only highlights centers of AI excellence in both advanced and emerging economies but also provides actionable insights for policymakers. By identifying key national indicators, it serves as a strategic guide for fostering AI growth on a global scale. #AI

#ai New Bing can deal with this kind of imposed misinformation. The references can be used to confirm the answer. This is more reliable than chatGPT.

#ai AI Frontiers: AI for health and the future of research with Peter Lee https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5ibHVicnJ5LmNvbS9mZWVkcy9taWNyb3NvZnRyZXNlYXJjaC54bWw/episode/aHR0cHM6Ly9ibHVicnJ5LmNvbS9taWNyb3NvZnRyZXNlYXJjaC85NTE3NTgwMC9haS1mcm9udGllcnMtYWktZm9yLWhlYWx0aC1hbmQtdGhlLWZ1dHVyZS1vZi1yZXNlYXJjaC13aXRoLXBldGVyLWxlZS8?ep=14 ---- A very cool discussion on the topic of large language models. They mentioned the early stage test of Davinci from OpenAI. The model was able to reason for AP in biology and many of the reasoning was surprising to them. Then Ashley asked the person from OpenAI why is Davinci reason like that and the person replied they don't know. Not everyone expected that kind of reasoning in LLM. In hindsight, "It is just a language model" is a very good question. Nowadays with GPT models, it seems that this question is not a question anymore because it is becoming a fact. What is in the training texts and what is language? Karpathy even made a joke about this: > The hottest new programming language is English https://twitter.com/karpathy/status/1617979122625712128?lang=en

#ai The performance is not too bad. But…given this is about academic topics, it sounds terrible to have this level of hallucination. https://bair.berkeley.edu/blog/2023/04/03/koala/

#ai https://github.com/dair-ai/Prompt-Engineering-Guide/blob/main/guides/prompts-advanced-usage.md