{"product_id":"building-agents-with-hugging-face-transformers-building-fine-tuning-scaling-and-bridging-llms-with-transformer-powered-agents-9798296542380","title":"Building Agents with Hugging Face Transformers: Building, Fine-Tuning, Scaling, and Bridging LLMs with Transformer-Powered Agents","description":"\u003cp\u003e • Author(s): Benjamin Hurley\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • Subject: Computer Science and Information Technology, \u003cbr\u003e • BISAC: Social Aspects - Human-Computer Interaction\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis hands-on, code-driven guide unlocks the power of building intelligent AI agents using Hugging Face Transformers and related tools. Whether you're a machine learning engineer, AI researcher, or advanced developer, this book equips you with the knowledge and practical skills to create, fine-tune, scale, and deploy transformer-powered agents for real-world applications, from task automation to multi-agent systems.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You'll Learn: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eThe complete process of building AI agents, from task-oriented automation to autonomous research systems, using Hugging Face's ecosystem.\u003c\/li\u003e\n\u003cli\u003eHow to integrate large language models (LLMs) like Zephyr, Mistral, and Qwen with tools, APIs, and code execution for tasks such as scheduling, data processing, and content generation.\u003c\/li\u003e\n\u003cli\u003eTechniques for fine-tuning agents with efficient methods like LoRA and PEFT, enabling customization on consumer-grade hardware.\u003c\/li\u003e\n\u003cli\u003eDesigning collaborative and competitive multi-agent systems, with frameworks like LangChain, smolagents, and PettingZoo for complex workflows.\u003c\/li\u003e\n\u003cli\u003eObservability and monitoring practices, including logging, visualization, and benchmarking against standards like HumanEval and GAIA.\u003c\/li\u003e\n\u003cli\u003eDeployment strategies using Hugging Face Inference Endpoints, FastAPI, Docker, and Kubernetes for scalable, production-ready agents.\u003c\/li\u003e\n\u003cli\u003eEthical considerations, including bias mitigation, privacy protection, and safe constraints for autonomous agents.\u003c\/li\u003e\n\u003cli\u003eEmerging trends like continual learning, multi-modal agents (integrating vision and audio), and advanced reasoning algorithms.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eBuilt for Advanced Practitioners: \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eThis book is designed for those ready to move beyond basic LLM prompting and build sophisticated, production-grade agents. It's not for beginners, it's for practitioners who want to create robust, scalable, and ethical AI systems using open-source tools.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWho Should Read This Book?\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eMachine learning engineers building task-oriented or autonomous agents.\u003c\/li\u003e\n\u003cli\u003eAI developers creating enterprise solutions for automation, research, or multi-agent collaboration.\u003c\/li\u003e\n\u003cli\u003eResearchers exploring advanced planning, reasoning, or multi-modal agent capabilities.\u003c\/li\u003e\n\u003cli\u003eAdvanced programmers leveraging Hugging Face Transformers for custom AI workflows.\u003c\/li\u003e\n\u003cli\u003eAnyone developing intelligent agents for industries like logistics, healthcare, or customer support.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eTools Covered: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eHugging Face Transformers, Datasets, smolagents, and Inference Endpoints.\u003c\/li\u003e\n\u003cli\u003eLangChain, LangGraph, and LlamaIndex for agent orchestration and workflows.\u003c\/li\u003e\n\u003cli\u003ePyTorch for fine-tuning and model optimization.\u003c\/li\u003e\n\u003cli\u003ePettingZoo and MATE for multi-agent environments.\u003c\/li\u003e\n\u003cli\u003eDocker, Kubernetes, FastAPI, and Redis for deployment and scaling.\u003c\/li\u003e\n\u003cli\u003ePrometheus, Grafana, and logging tools for observability.\u003c\/li\u003e\n\u003cli\u003eEthical tools like TextBlob and safety libraries for responsible AI.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eIf you're ready to harness the full potential of Hugging Face Transformers to build intelligent, scalable, and ethical AI agents, this is your definitive guide. Packed with real-world projects, complete code templates, and practical insights, it's time to transform your ideas into production-ready agents.\u003c\/p\u003e\u003cp\u003eGet your copy now and start building the future of intelligent systems.\u003c\/p\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46333958815895,"sku":"9798296542380","price":1745.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798296542380.webp?v=1769305250","url":"https:\/\/atlanticbooks.com\/products\/building-agents-with-hugging-face-transformers-building-fine-tuning-scaling-and-bridging-llms-with-transformer-powered-agents-9798296542380","provider":"Atlantic Books","version":"1.0","type":"link"}