Category Archives: LLM Performance

Fast-Tracking Custom LLMs Using vLLM

At InnovationM, we are constantly searching for tools and technologies that can drive the performance and scalability of our AI-driven products. Recently, we made progress with vLLM, a high-performance model inference engine designed to deploy Large Language Models (LLMs) more efficiently. We had a defined challenge. Deploy our own custom-trained LLM as a fast and Continue Reading »

Optimizing AI Efficiency: How We Leverage Prompt Caching for Faster, Smarter Responses

Introduction Let’s face it—LLMs (Large Language Models) are amazing, but they’re also computationally expensive. Every time a user makes a request, the model fires up, processes vast amounts of data, and generates a response from scratch. This is great for unique queries, but for frequently repeated prompts? Not so much. This is where Prompt Caching Continue Reading »