Discover how to build smarter, more efficient AI inference systems. Learn about quantization, sparsity, and advanced techniques like vLLM with Red Hat AI.
Large language models (LLMs), primarily built upon transformer architectures, have evolved from research experiments to foundational tools powering real-world applications. Their scale—often reaching tens or hundreds of billions of parameters—allow for high levels of reasoning, creativity, and domain specificity. They do so through a process called inference.
