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Linking pages
- Why the development of artificial general intelligence could be the most dangerous new arms race since nuclear weapons | by James Blaha | Feb, 2023 | Medium https://jamesblaha.medium.com/agi-doesnt-need-understanding-or-consciousness-in-order-to-kill-us-only-intelligence-ad1cdfcf2e5c 87 comments
- In case you missed GPT-3. If you have no knowledge of data, here… | by Lazare Masset | Dec, 2022 | Medium https://medium.com/@lazaremasset/in-case-you-missed-gpt-3-b92027ac61a2 4 comments
- An “AI Breakthrough” on Systematic Generalization in Language? https://aiguide.substack.com/p/an-ai-breakthrough-on-systematic 4 comments
- AI Revolution - Transformers and Large Language Models (LLMs) https://blog.eladgil.com/p/ai-revolution-transformers-and-large 1 comment
- AI Foundations Part 1: Transformers, Pre-Training and Fine-Tuning, and Scaling https://www.fabricatedknowledge.com/p/ai-foundations-part-1-transformers 0 comments
- Understanding BERT: The Key to Advanced Language Models https://www.turingtalks.ai/p/understanding-bert-the-key-to-advanced 0 comments
Linked pages
- https://deepmind.com/blog/alphastar-mastering-real-time-strategy-game-starcraft-ii/ 508 comments
- The Unreasonable Effectiveness of Recurrent Neural Networks https://karpathy.github.io/2015/05/21/rnn-effectiveness/ 434 comments
- https://deepmind.com/blog/wavenet-generative-model-raw-audio/ 288 comments
- Better Language Models and Their Implications https://blog.openai.com/better-language-models/#content 207 comments
- Understanding LSTM Networks -- colah's blog https://colah.github.io/posts/2015-08-Understanding-LSTMs/ 64 comments
- The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/illustrated-transformer/ 25 comments
- Medium https://medium.com/m/signin?isDraft=1&operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40jamie_34747%2F79d382edf22b%3Fsource%3D 19 comments
- Making Things Think: How AI and Deep Learning Power the Products We Use — Holloway https://www.holloway.com/g/making-things-think 10 comments
- The Annotated Transformer https://nlp.seas.harvard.edu/2018/04/03/attention.html 3 comments
- Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention) – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/visualizing-neural-machine-translation-mechanics-of-seq2seq-models-with-attention/ 1 comment
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