Hacker News
- The Illustrated BERT: How NLP Cracked Transfer Learning https://jalammar.github.io/illustrated-bert/ 19 comments
Linking pages
- The Illustrated Word2vec – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/illustrated-word2vec/ 58 comments
- GitHub - amitness/learning: A log of things I'm learning https://github.com/amitness/learning 17 comments
- Can ChatGPT Truly Understand What We're Saying? A Powerful Comparison with BERT" - day 69 - INGOAMPT https://ingoampt.com/can-chatgpt-truly-understand-what-were-saying-a-powerful-comparison-with-bert-day-69/ 3 comments
- Semantic search with embeddings: index anything | by Romain Beaumont | Medium https://rom1504.medium.com/semantic-search-with-embeddings-index-anything-8fb18556443c 2 comments
- Can a Robot Make You Laugh? — Teaching an AI to Tell Jokes | by Lorenzo Ampil | Towards Data Science https://towardsdatascience.com/can-a-robot-make-you-laugh-teaching-an-ai-to-tell-jokes-815f1e1e689c?sk=342342be4cbf0064f8f0e7cb7ec0b6bc&source=friends_link 1 comment
- GitHub - guillaume-chevalier/Awesome-Deep-Learning-Resources: Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier https://github.com/guillaume-chevalier/awesome-deep-learning-resources 1 comment
- GitHub - vlgiitr/DL_Topics: List of DL topics and resources essential for cracking interviews https://github.com/vlgiitr/DL_Topics 1 comment
- Sentiment Analysis, Part 4 — A survey of Sentiment Analysis methods | by Jade Moillic | Besedo Engineering Blog | Medium https://medium.com/besedo-engineering/sentiment-analysis-part-4-a-survey-of-sentiment-analysis-methods-2ba84759f3d 1 comment
- Text Summarization, Part 2 — State Of the Art and Datasets | by Mohamed Bamouh | Besedo Engineering Blog | Medium https://medium.com/besedo-engineering/text-summarization-part-2-state-of-the-art-ae900e2ac55f 1 comment
- Grooming Detection Part. 3: A BERT Multiclass Model Experiment | by Roxane Bois | Besedo Engineering Blog | Jan, 2023 | Medium https://medium.com/besedo-engineering/grooming-detection-part-3-a-bert-multiclass-model-experiment-ddbd4ecda3c5 1 comment
- Can We Learn the Language of Proteins? – The Berkeley Artificial Intelligence Research Blog https://bair.berkeley.edu/blog/2019/11/04/proteins/ 1 comment
- How to Incorporate Tabular Data with HuggingFace Transformers | by Georgian | Georgian Impact Blog | Medium https://medium.com/georgian-impact-blog/how-to-incorporate-tabular-data-with-huggingface-transformers-b70ac45fcfb4 0 comments
- Deconstructing BERT, Part 2: Visualizing the Inner Workings of Attention | by Jesse Vig | Towards Data Science https://towardsdatascience.com/deconstructing-bert-part-2-visualizing-the-inner-workings-of-attention-60a16d86b5c1 0 comments
- 2019 — Year of BERT and Transformer | by Manu Suryavansh | Towards Data Science https://towardsdatascience.com/2019-year-of-bert-and-transformer-f200b53d05b9?sk=77913662dd96ce5de77998341504902f&source=friends_link 0 comments
- Recent advances in the field of NLP - DEV Community https://dev.to/amananandrai/recent-advances-in-the-field-of-nlp-33o1 0 comments
- Analyzing the Bible with a BERT model - Roland Szabó https://rolisz.com/analyzing-the-bible-with-bert-models/ 0 comments
- Building Intelligent Conversational Interfaces https://www.infoq.com/articles/intelligent-conversational-interfaces/ 0 comments
- Exploring NLP Part 1: Why Should a Privacy Engineering Company Care About NLP? https://gretel.ai/blog/exploring-nlp-part-1-why-should-a-privacy-engineering-company-care-about-nlp 0 comments
- OpenAI's new "dangerous" GPT-2 language model (Practical AI #32) |> Changelog https://changelog.com/practicalai/32 0 comments
- Foundation Models. In August 2021 Stanford announced… | by Grigory Sapunov | Intento https://blog.inten.to/foundation-models-b89e7610057?gi=60ca2947a10e 0 comments
Linked pages
- [1706.03762] Attention Is All You Need https://arxiv.org/abs/1706.03762 145 comments
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank http://nlp.stanford.edu/sentiment/index.html 48 comments
- The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/illustrated-transformer/ 36 comments
- GitHub - google-research/bert: TensorFlow code and pre-trained models for BERT https://github.com/google-research/bert 21 comments
- GitHub - allenai/allennlp: An open-source NLP research library, built on PyTorch. https://github.com/allenai/allennlp 10 comments
- Creative Commons — Attribution-NonCommercial-ShareAlike 4.0 International — CC BY-NC-SA 4.0 https://creativecommons.org/licenses/by-nc-sa/4.0/ 4 comments
- NLP's ImageNet moment has arrived http://ruder.io/nlp-imagenet/ 1 comment
- [1801.06146] Universal Language Model Fine-tuning for Text Classification https://arxiv.org/abs/1801.06146 0 comments
- Open Sourcing BERT: State-of-the-Art Pre-training for Natural Language Processing – Google AI Blog https://ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html 0 comments
- Full Fact https://fullfact.org/ 0 comments
- GitHub - huggingface/transformers: 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. https://github.com/huggingface/pytorch-pretrained-BERT 0 comments
- Allen Institute for AI http://allenai.org/ 0 comments
- https://s3-us-west-2.amazonaws.com/openai-assets/research-covers/language-unsupervised/language_understanding_paper.pdf 0 comments