Data Preprocessing in Machine Learning
Data Preprocessing in Machine Learning
Sep 23, 2020
serokell.io
How to build an LLM: 1. Training data collection 2. Cleaning and preprocessing of the data 3. Tokenization of data 4. Model Architecture Design (neural networks, transformers) 5. Embedding tokens into numerical vectors 6. Training the model prediction from vector sequences 7. Contextually learn relationships between tokens 8. Inference to generate text 9. Post-processing to improve output readability and relevance #LLM #machinelearning #NLP #datascience | Cognitive Class
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