Train your first Text JEPA model [Tutorial]

📰 Medium · NLP

Learn to train your first Text JEPA model, a potential alternative to auto-regressive LLMs, and understand its significance in the pursuit of true world intelligence

intermediate Published 29 Jun 2026
Action Steps
  1. Read Yann LeCun's arguments on auto-regressive LLMs
  2. Understand the limitations of current LLMs
  3. Explore the Text JEPA model architecture
  4. Train your first Text JEPA model using a suitable framework
  5. Evaluate and compare the performance of Text JEPA with auto-regressive LLMs
Who Needs to Know This

NLP engineers and researchers can benefit from this tutorial to explore new architectures and improve their language modeling skills

Key Insight

💡 Text JEPA models offer a potential alternative to auto-regressive LLMs, which may be a dead-end for achieving true world intelligence

Share This
🚀 Train your first Text JEPA model and explore a new path to true world intelligence! 🤖

Full Article

If you follow Yann LeCun, you know he frequently argues that auto-regressive LLMs are a dead-end for reaching true world intelligence… Continue reading on Level Up Coding »
Read full article → ← Back to Reads

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