Hacker News
- The Illustrated Word2Vec (2019) https://jalammar.github.io/illustrated-word2vec/ 19 comments
- The Illustrated Word2vec https://jalammar.github.io/illustrated-word2vec/ 37 comments
Lobsters
Linking pages
- How GPT3 Works - Visualizations and Animations – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/how-gpt3-works-visualizations-animations/ 109 comments
- Issue No. 23 | The Orbital Index https://orbitalindex.com/archive/2019-07-30-Issue-23/ 69 comments
- Run ChatGPT-Style Questions Over Your Own Files https://www.reaminated.com/run-chatgpt-style-questions-over-your-own-files-using-the-openai-api-and-langchain 29 comments
- GitHub - amitness/learning: A log of things I'm learning https://github.com/amitness/learning 17 comments
- GitHub - mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. https://github.com/mlabonne/llm-course 10 comments
- Understanding Contrastive Learning | by Ekin Tiu | Towards Data Science https://towardsdatascience.com/understanding-contrastive-learning-d5b19fd96607 9 comments
- GitHub - sturdy-dev/semantic-code-search: Search your codebase with natural language • CLI • No data leaves your computer https://github.com/sturdy-dev/semantic-code-search 5 comments
- How algorithms discern our mood from what we write online – Sinapticas https://sinapticas.com/2020/09/17/how-algorithms-discern-our-mood-from-what-we-write-online/ 4 comments
- Semantic search with embeddings: index anything | by Romain Beaumont | Medium https://rom1504.medium.com/semantic-search-with-embeddings-index-anything-8fb18556443c 2 comments
- The Annotated GPT-2 | Committed towards better future https://amaarora.github.io/2020/02/18/annotatedGPT2.html 2 comments
- How Algorithms Discern Our Mood From What We Write Online | Innovation| Smithsonian Magazine https://www.smithsonianmag.com/innovation/how-algorithms-discern-our-mood-what-we-write-online-180975840/ 1 comment
- GPT-4 Spaced Repetition with "The Making of Modern Ukraine" - DEV Community https://dev.to/joeholmes/gpt-4-spaced-repetition-with-the-making-of-modern-ukraine-jh8 1 comment
- The Unreasonable Effectiveness Of Neural Network Embeddings | by Peter Gao | Aquarium Learning | Medium https://medium.com/aquarium-learning/the-unreasonable-effectiveness-of-neural-network-embeddings-93891acad097 0 comments
- Embeddings from the Ground Up – Single Lunch https://www.singlelunch.com/2020/02/16/embeddings-from-the-ground-up/ 0 comments
- Introduction to Vector Search for Developers | Pinecone https://www.pinecone.io/learn/vector-search-basics/ 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
- PyTorch BigGraph, AI Talent Report, Math Q&A, AI Business School, Chat intent, Tumor Segmentation,… | by elvis | DAIR.AI | Medium https://medium.com/dair-ai/pytorch-biggraph-ai-talent-report-math-q-a-ai-business-school-chat-intent-tumor-segmentation-8f377a19249f 0 comments
- Optimize Your Chatbot’s Conversational Intelligence Using GPT-3 | by Amogh Agastya | Dec, 2022 | Better Programming https://betterprogramming.pub/how-to-give-your-chatbot-the-power-of-neural-search-with-openai-ebcff5194170 0 comments
- Vector Embeddings Explained | Weaviate - vector search engine https://weaviate.io/blog/vector-embeddings-explained 0 comments
- Old meets New: Hybrid Search - Byte Sized AI https://bytesizedai.substack.com/p/old-meets-new-hybrid-search 0 comments
Linked pages
- Cosine similarity - Wikipedia https://en.wikipedia.org/wiki/Cosine_similarity 274 comments
- Logistic function - Wikipedia https://en.wikipedia.org/wiki/Logistic_function 118 comments
- Speech and Language Processing https://web.stanford.edu/~jurafsky/slp3/ 78 comments
- The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/illustrated-transformer/ 36 comments
- Finally, A Personality Quiz Backed By Science | FiveThirtyEight https://projects.fivethirtyeight.com/personality-quiz/ 25 comments
- The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning) – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/illustrated-bert/ 20 comments
- Big Five personality traits - Wikipedia https://en.wikipedia.org/wiki/Big_Five_personality_traits 16 comments
- https://www.jmlr.org/papers/volume3/bengio03a/bengio03a.pdf 8 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
- A Visual And Interactive Look at Basic Neural Network Math – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/feedforward-neural-networks-visual-interactive/ 3 comments
- http://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf 0 comments
- [1301.3781] Efficient Estimation of Word Representations in Vector Space https://arxiv.org/abs/1301.3781 0 comments
- Gensim: Topic modelling for humans https://radimrehurek.com/gensim/ 0 comments
- Intelligenter und produktiver schreiben mit SwiftKey | SwiftKey https://blog.swiftkey.com/neural-networks-a-meaningful-leap-for-mobile-typing/ 0 comments
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