batching
Simplifying LLM batch inference
LLM batch inference promises lower costs and fewer rate limits, but providers make it complex. See how Portkey simplifies batching with a unified API, direct outputs, and transparent pricing.
batching
LLM batch inference promises lower costs and fewer rate limits, but providers make it complex. See how Portkey simplifies batching with a unified API, direct outputs, and transparent pricing.
paper summaries
The paper discusses the cost associated with querying large language models (LLMs) and proposes FrugalGPT, a framework that uses LLM APIs to process natural language queries within a budget constraint. The framework uses prompt adaptation, LLM approximation, and LLM cascade to reduce the inference