From transformers to prompt engineering, these reads sharpen your edge in the AI race..Attention Is All You Need: The foundational paper-turned-classic that introduced Transformers and changed NLP forever..Natural Language Processing with Transformers: A hands-on guide to building, fine-tuning, and deploying transformer-based models in real projects..Designing Machine Learning Systems: Perfect for AI pros who want to take LLMs from prototypes to scalable, production-ready systems..Deep Learning by Goodfellow et al: A timeless reference that strengthens the theoretical backbone behind modern LLM architectures..Generative Deep Learning: Explores how generative models work, a must-read for understanding how LLMs actually create content..Machine Learning Engineering: Bridges the gap between research and real-world AI deployment, including large models..Prompt Engineering for LLMs: Focused on mastering prompts, context, and reasoning to unlock maximum performance from LLMs..AI Engineering: Explains how to integrate LLMs into products, workflows, and enterprise-grade applications..Read More Stories.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp