Tag: machine-learning

Implement semantic caching to avoid redundant LLM calls and reduce API costs.

Use structured prompt templates to get reliable, formatted responses from LLMs.

Use FrozenDictionary and FrozenSet for immutable, highly-optimized read-only collections.

Replace Task with ValueTask in frequently-called async methods that often complete synchronously.

Rent and return arrays from a shared pool to avoid repeated allocations in buffer-heavy code.

Bypass the GIL and utilize all CPU cores for compute-intensive tasks.