Category: LLM Model

SGLang vs. VLLM vs. Lit GPT: The Ultimate LLM Inference Evaluation
LLM Model

SGLang vs. VLLM vs. Lit GPT: The Ultimate LLM Inference Evaluation

The efficiency of a Large Language Model (LLM) is dictated not just by its architecture but by the inference engine driving it. As demand grows for real-time AI applications, developers seek inference engines that optimize speed, memory consumption, and scalability.

Evaluating Small Language Models: A Deep Dive
LLM Model

Evaluating Small Language Models: A Deep Dive

The rise of Small Language Models (SLMs) is redefining how we approach AI-powered applications. While large models like GPT-4 and LLaMA-2 dominate in sheer capability, they come with significant computational costs. SLMs, on the other hand, offer an efficient alternative—balancing performance, speed, and resource efficiency.