📢 Add Episode: Scalability vs. Accuracy in AI (ModernBERT & Spark/Kafka)#2
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ShovalBenjer wants to merge 2 commits intomluggy:mainfrom
Open
📢 Add Episode: Scalability vs. Accuracy in AI (ModernBERT & Spark/Kafka)#2ShovalBenjer wants to merge 2 commits intomluggy:mainfrom
ShovalBenjer wants to merge 2 commits intomluggy:mainfrom
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Pull Request Description:
Summary
This PR adds a new episode draft discussing the trade-offs between scalability and accuracy in AI when integrating ModernBERT into Spark/Kafka big data architectures. The document follows the structured format used in previous episodes and highlights key debate points, pros/cons, and potential optimizations.
Key Additions:
✅ New episode file: episodes/ScalabilityVsAccuracy.txt
✅ Covers semantic understanding, distributed inference, and feature extraction
✅ Addresses computational cost, integration complexity, and real-time bottlenecks
✅ Includes discussion points on efficiency, scalability, and architectural design
✅ Credit added to Shoval Benjer
Why This Contribution?
This topic remains an open question in AI and big data communities, making it ideal for debate. It offers insights into balancing real-time performance and deep learning capabilities in large-scale distributed environments.
Next Steps
Review for accuracy and formatting consistency.
Merge for automated podcast processing at midnight.
Looking forward to feedback! 🚀