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said we should delete tokenizers

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Articoli Natural Language Processing Foundation Model AI
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Type: Content Original link: https://x.com/varchasvee_/status/1986811191474401773?s=43&t=ANuJI-IuN5rdsaLueycEbA Publication date: 2025-11-12


Summary
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WHAT - A Twitter post discussing the deletion of tokenizers in Optical Character Recognition (OCR) models, based on a post by Andrej Karpathy.

WHY - Relevant for AI business because it suggests an innovative approach to improve the efficiency and accuracy of OCR models, eliminating the need for tokenization.

WHO - Andrej Karpathy (author of the original post), Varun Sharma (author of the tweet), AI developers and researchers community.

WHERE - Positioned within the technical debate on OCR and NLP, within the AI community on Twitter.

WHEN - The tweet was published on 2024-05-16, reflecting a current trend of innovation in OCR models.

BUSINESS IMPACT:

  • Opportunities: Developing OCR models without tokenizers can reduce complexity and improve accuracy, offering a competitive advantage.
  • Risks: The transition may require significant investments in research and development.
  • Integration: Possible integration with existing OCR tools to test and validate the tokenizer-free approach.

TECHNICAL SUMMARY:

  • Core technology stack: OCR models that read text directly from pixels, bypassing tokenization.
  • Scalability and limits: Scalability depends on the model’s ability to handle different resolutions and text types. Limits include the need for large datasets for training.
  • Technical differentiators: Elimination of tokenization, reduction of model complexity, potential improvement in accuracy.

Use Cases
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  • Private AI Stack: Integration into proprietary pipelines
  • Client Solutions: Implementation for client projects
  • Strategic Intelligence: Input for technological roadmap
  • Competitive Analysis: Monitoring AI ecosystem

Resources
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Original Links #


Article suggested and selected by the Human Technology eXcellence team, processed through artificial intelligence (in this case with LLM HTX-EU-Mistral3.1Small) on 2025-11-12 17:59 Original source: https://x.com/varchasvee_/status/1986811191474401773?s=43&t=ANuJI-IuN5rdsaLueycEbA

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