Author Description

<p><strong>Transform Your Business with Intelligent AI to Drive Outcomes</strong></p> <p>Building reactive AI applications and chatbots is no longer enough. The competitive advantage belongs to those who can build AI that can respond, reason, plan, and execute. <strong>Building Agentic AI: Workflows, Fine-Tuning, Optimization, and Deployment</strong> takes you beyond basic chatbots to create fully functional, autonomous agents that automate real workflows, enhance human decision-making, and drive measurable business outcomes across high-impact domains like customer support, finance, and research.</p> <p>Whether you're a developer deploying your first model, a data scientist exploring multi-agent systems and distilled LLMs, or a product manager integrating AI workflows and embedding models, this practical handbook provides tried and tested blueprints for building production-ready systems. Harness the power of reasoning models for applications like computer use, multimodal systems to work with all kinds of data, and fine-tuning techniques to get the most out of AI. Learn to test, monitor, and optimize agentic systems to keep them reliable and cost-effective at enterprise scale.</p> <p>Master the complete agentic AI pipeline</p> <ul> <li>Design adaptive AI agents with memory, tool use, and collaborative reasoning capabilities</li> <li>Build robust RAG workflows using embeddings, vector databases, and LangGraph state management</li> <li>Implement comprehensive evaluation frameworks beyond accuracy, including precision, recall, and latency metrics</li> <li>Deploy multimodal AI systems that seamlessly integrate text, vision, audio, and code generation</li> <li>Optimize models for production through fine-tuning, quantization, and speculative decoding techniques</li> <li>Navigate the bleeding edge of reasoning LLMs and computer-use capabilities</li> <li>Balance cost, speed, accuracy, and privacy in real-world deployment scenarios</li> <li>Create hybrid architectures