Last week, I helped a friend launch a new app with AI features, including Retrieval-augmented generation (RAG). Many successful AI apps are semantic search-based. Understanding tokenization, the process of breaking text into tokens by a tokenizer, is crucial for AI app success. Token availability in a tokenizer’s vocabulary impacts the performance and accuracy of the app. Tokenizers and embeddings play key roles in processing text data before feeding it into transformers in the AI app pipeline. Issues such as missing tokens, emojis, misspelled words, and date formats can impact the accuracy of AI models. Reliable data input and careful evaluation are essential for successful AI applications.
https://cybernetist.com/2024/10/21/you-should-probably-pay-attention-to-tokenizers/