Implement semantic caching to avoid redundant LLM calls and reduce API costs.
Tag: data-engineering
Tips and Tricks #190: Implement Prompt Templates for Consistent LLM Output
Use structured prompt templates to get reliable, formatted responses from LLMs.
Tips and Tricks #165: Use Generators for Memory-Efficient Data Processing
Process large datasets without loading everything into memory using Python generators.
Tips and Tricks #164: Freeze Collections for Thread-Safe Read Access
Use FrozenDictionary and FrozenSet for immutable, highly-optimized read-only collections.
Tips and Tricks #163: Use ValueTask for Hot Async Paths
Replace Task with ValueTask in frequently-called async methods that often complete synchronously.
Tips and Tricks #162: Leverage ArrayPool for Temporary Buffer Reuse
Rent and return arrays from a shared pool to avoid repeated allocations in buffer-heavy code.