Transformers and Large Language Models (LLMs) are revolutionizing AI-driven applications across industries. However, challenges such as computational demands and data biases can hinder their full potential. This article covers:
• Core challenges in deploying LLMs at scale
• Recent advancements in transformer architectures and efficiency
• Real-world applications demonstrating the power of LLMs in various domains