3 entries
Keyword: word2vecArticle:Wikipedia contributors
British linguist J. R. Firth (1890–1960) shaped modern natural language processing with his famous maxim: 'You shall know a word by the company it keeps'. His work on distributional semantics provided the theoretical cornerstone for vector representations like Word2vec and GloVe.
From Video: Building an LLM from Scratch: Neural Networks, Tokenization, and Transformers
Repository:w3cj/how-llms-work
The GitHub repository 'how-llms-work' by w3cj provides an interactive web application that explains the inner mechanics of large language models step by step. From pattern-matching chatbots to neural network backpropagation, BPE tokenisation, Word2Vec embeddings, and training a transformer from scratch, each stage includes locally runnable code.
568starsTypeScript
From Video: Building an LLM from Scratch: Neural Networks, Tokenization, and Transformers
VideoVideo:CURT
CJ breaks down the inner workings of large language models using historical context and working code implementations. He guides through the evolution from rule-based chatbots to transformers, covering neural networks, Byte Pair Encoding, and vector embeddings.
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