Thrilled to share my first article for Progress Software's AI Thought Leadership Program! 🚀
In "Tokenization Trade-offs: Engineering Perspectives on Memory, Cost and Performance," I dive deep into the hidden economics of AI memory management that can make or break production systems.
We explore:
— Real-world case studies from financial services AI
— Practical code examples for optimization
— The $2.3M wake-up call that changed our approach
— Engineering frameworks for memory, cost & performance
Big thanks to the Progress team for this opportunity!
Read it here: https://www.progress.com/blogs/tokenization-trade-offs-engineering-perspectives-on-memory-cost-and-performance
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