Linking pages
- What OpenAI Really Wants | WIRED https://www.wired.com/story/what-openai-really-wants/ 183 comments
- It takes a lot of energy for machines to learn – here's why AI is so power-hungry https://theconversation.com/it-takes-a-lot-of-energy-for-machines-to-learn-heres-why-ai-is-so-power-hungry-151825 119 comments
- OpenAI No Longer Takes Safety Seriously | Lawfare https://www.lawfaremedia.org/article/openai-no-longer-takes-safety-seriously 82 comments
- Text Is the Universal Interface | Blog | Scale AI https://scale.com/blog/text-universal-interface 78 comments
- Finetuning Large Language Models - by Sebastian Raschka https://magazine.sebastianraschka.com/p/finetuning-large-language-models 72 comments
- Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformer – Google AI Blog https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html 66 comments
- You Don't Need a Masters/PhD – How These 9 Engineers Broke Into ML | Backprop https://www.trybackprop.com/blog/2024_06_09_you_dont_need_a_phd 61 comments
- Normcore LLM Reads · GitHub https://gist.github.com/veekaybee/be375ab33085102f9027853128dc5f0e 52 comments
- GitHub - karpathy/minbpe: Minimal, clean, educational code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization. https://github.com/karpathy/minbpe 31 comments
- Ideas for Programmers Looking Beyond Web Development | kipply's blog https://carolchen.me/blog/past-webdev/ 30 comments
- Faking the News with Natural Language Processing and GPT-2 | by Adam Geitgey | Medium https://medium.com/@ageitgey/deepfaking-the-news-with-nlp-and-transformer-models-5e057ebd697d 24 comments
- GitHub - mhagiwara/100-nlp-papers: 100 Must-Read NLP Papers https://github.com/mhagiwara/100-nlp-papers 21 comments
- Generating Fake News with OpenAI’s Language Models | by Adrian Yijie Xu | Towards Data Science https://towardsdatascience.com/creating-fake-news-with-openais-language-models-368e01a698a3#f7e4-509ea6e7d52d 16 comments
- Generating Beatles Lyrics with Machine Learning | by Eugen Hotaj | Towards Data Science https://towardsdatascience.com/generating-beatles-lyrics-with-machine-learning-1355635d5c4e 14 comments
- What makes a good conversation? | Abigail See http://www.abigailsee.com/2019/08/13/what-makes-a-good-conversation.html 11 comments
- GitHub - JUSTSUJAY/ML-Research-Papers https://github.com/JUSTSUJAY/ML-Research-Papers 10 comments
- You Are Not Too Old (To Pivot Into AI) - by swyx https://www.latent.space/p/not-old 8 comments
- Simulators :: — Moire https://generative.ink/posts/simulators/ 7 comments
- Reading List For Andrej Karpathy’s Intro to Large Language Models Video https://blog.oxen.ai/reading-list-for-andrej-karpathys-intro-to-large-language-models-video/ 6 comments
- Understanding Parameter-Efficient Finetuning of Large Language Models: From Prefix Tuning to LLaMA-Adapters https://sebastianraschka.com/blog/2023/llm-finetuning-llama-adapter.html 4 comments