Transformers
Ctrlk
  • ๐ŸŒGET STARTED
  • ๐ŸŒTUTORIALS
  • ๐ŸŒTASK GUIDES
  • ๐ŸŒDEVELOPER GUIDES
  • ๐ŸŒPERFORMANCE AND SCALABILITY
  • ๐ŸŒCONTRIBUTE
  • ๐ŸŒCONCEPTUAL GUIDES
    • Philosophy
    • Glossary
    • What BOINC AI Transformers can do
    • How BOINC AI Transformers solve tasks
    • The Transformer model family
    • Summary of the tokenizers
    • Attention mechanisms
    • Padding and truncation
    • BERTology
    • Perplexity of fixed-length models
    • Pipelines for webserver inference
    • Model training anatomy
  • ๐ŸŒAPI
  • ๐ŸŒINTERNAL HELPERS
Powered by GitBook
On this page

๐ŸŒCONCEPTUAL GUIDES

PhilosophyGlossaryWhat BOINC AI Transformers can doHow BOINC AI Transformers solve tasksThe Transformer model familySummary of the tokenizersAttention mechanismsPadding and truncationBERTologyPerplexity of fixed-length modelsPipelines for webserver inferenceModel training anatomy
PreviousChecks on a Pull RequestNextPhilosophy