CREDITS: The word vectors were obtained from Stanford NLP: https://nlp.stanford.edu/projects/glove/ I used a very fast sorting algorithm from @-Rex-Test- https://scratch.mit.edu/projects/420013342/ INSTRUCTIONS: Press the green flag to begin. Enter any word. The program will try to find related words. Here are a few fun words to try: "word", "code", "America". You can also see if it has your name! (Of course, it does not know every name, but it has a few.) INFORMATION: This project contains 10,000 words, each represented by a 50-dimensional vector. This makes 500,000 parameters (0.0005B). The vectors give the program a general knowledge of how the words relate to each other. More updates coming soon! Love, fave and follow for a full LLM! Feel free to add this to the PPTBF (purpose projects to be featured studio)! https://scratch.mit.edu/studios/28715018 tags: #all #trending #ai #vector #word #words #artificialintelligence #n8_d_gr8_1
