Unlocking LLM Performance: A Deep Dive into Python's Scalability Challenges and Solutions
Introduction Large language models (LLMs) have transformed natural‑language processing, powering everything from chatbots to code assistants. Yet, delivering the promised capabilities at scale remains a non‑trivial engineering problem—especially when the surrounding ecosystem is built on Python. Python’s ease of use, rich libraries, and vibrant community make it the language of choice for research and production, but its runtime characteristics can become bottlenecks when models grow to hundreds of billions of parameters. ...