Harvey Seth (5 results)

Paperback. Condition: Collectible-Good. Paperback; fading, light scuffing, and edge wear to exterior, with chipping at edges of spine; fading to pages; in good condition with clean text, firm binding.

Hardback. Condition: As New. Dust Jacket Condition: As New. Will Eisner, Jules Feiffer, Art Spiegelman, Harvey Pekar, Seth Tobocman, Zagaat, et al (illustrator). Hard Cover. The New Press 2008. 1st Edition. Book condition: M - Mint. Dust Jacket. Full Colour illustrations. Dust Jacket condition: M - Mint. Readers have long cherished the work of comic masters such as Will Eisner, Jules Feiffer and Art Spiegelman, all of whom happen to be Jewish. Few, however, are probably aware that the Jewish role in creating the American comic art form is no less significant than the Jewish influence on Hollywood filmmaking. Filled with the most stunning examples of this vital artistic tradition, Jews and American Comics tells us how the "people of the book" became the people of the comic book. 224 pages. Size: 9" x 9" (240mm x 240mm). (1.8).

Paperback. Condition: new. Paperback. Are you ready to build cutting-edge AI applications with confidence? LLMs in Practice: A Hands-On Guide to Building and Integrating AI Applications Using LangChain and Hugging Face by Seth Harvey is your practical roadmap to creating powerful, real-world AI solutions. This book equips developers, data scientists, and tech enthusiasts with the skills to harness large language models (LLMs) effectively, using two of the most popular open-source frameworks: LangChain and Hugging Face.The book focuses on actionable techniques for building AI applications, from crafting effective prompts to deploying scalable services. It guides you through integrating LLMs with external data, tools, and memory to create intelligent systems like chatbots, knowledge bots, and automation agents. With clear explanations and hands-on projects, you'll learn to combine LLMs with LangChain's flexible workflows and Hugging Face's robust models, making complex AI development accessible and efficient.What sets this book apart?Prompt Engineering: Master crafting prompts to guide LLMs for precise, context-aware responses.Retrieval-Augmented Generation: Learn to ground LLMs with external data for accurate, reliable outputs.Agents and Workflows: Build dynamic agents and multi-agent systems to tackle complex tasks.Practical Use Cases: Apply LLMs to real-world projects like coding assistants and e-commerce recommenders.Fine-Tuning and Deployment: Customize models and deploy applications with FastAPI, Streamlit, or Hugging Face platforms.Best Practices: Ensure security, ethics, and performance with actionable strategies.Readers will gain practical skills to create AI applications that solve real problems, backed by code examples and expert insights. Whether you're a beginner or an experienced developer, this book provides the tools to build, customize, and deploy AI solutions with confidence.Don't miss out on mastering AI development! Grab your copy of LLMs in Practice today and start building intelligent applications that stand out. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

142 pp.; 28 x 20.5 cm.; staple bound; black-and-white; edition size unknown; unsigned and unnumbered; offset-printed The report from the Art Workers Coalition hearing on April 10, 1969, printed in order to bring each artist's opinion on museum reform to the attention of all art workers and all art institutions in New York City and elsewhere. Includes contributions in the form of statements by Carl Andre, Architects Resistance, Robert Barry, Gregory Battcock, Jon Bauch, Ernst Benkert, Don Bernshouse, Gloria Greenberg Bressler, Selma Brody, Bruce Brown, Bob Carter, Fredrick Castle, Rosemarie Castoro, Michael Chapman, Iris Crump, John Denmark, Joseph Di Donato, Mark Di Suvero, George Dworzan, Farman, Hollis Frampton, Dan Graham, Chuck Ginnever, Bill Gordy, Alex Gross, Hans Haacke, Clarence Hagin, Harvey, Gerry Herman, Frank Hewitt, D. Holmes, Robert Huot, Ken Jacobs, Joseph Kosuth, David Lee, Naomi Levine, Sol LeWitt, Lucy Lippard, Tom Lloyd, Lee Lozano, Len Lye, James McDonald, Edwin Mieczkowski, Vernita Nemec, Barnett Newman, John Perreault, Stephen Phillips, Lil Picard, Peter Pinchbeck, Joanna Pousette-Dart, Barbara Reise, Faith Ringold, Steve Rosenthal, Theresa Schwarz, Seth Siegelaub, Gary Smith, Michael Snow, Anita Steckel, Carl Strueckland, Gene Swenson, Julius Tobias, Jean Toche, Ruth Vollimer, Iain Whitecross, Jay Wholly, Ann Wilson, and Wilbur Woods. Reference : "Materializing Six Years : Lucy R. Lippard and the Emergence of Conceptual Art" by Catherine Morris, Vincent Bonin, Julia Bryan-Wilson. Brooklyn / Cambridge, NY / MA : Brooklyn Museum / MIT Press, 2012, pp. 72. Fine. First printing, clean and unmarked as issued.

Paperback. Condition: new. Paperback. Are you ready to build cutting-edge AI applications with confidence? LLMs in Practice: A Hands-On Guide to Building and Integrating AI Applications Using LangChain and Hugging Face by Seth Harvey is your practical roadmap to creating powerful, real-world AI solutions. This book equips developers, data scientists, and tech enthusiasts with the skills to harness large language models (LLMs) effectively, using two of the most popular open-source frameworks: LangChain and Hugging Face.The book focuses on actionable techniques for building AI applications, from crafting effective prompts to deploying scalable services. It guides you through integrating LLMs with external data, tools, and memory to create intelligent systems like chatbots, knowledge bots, and automation agents. With clear explanations and hands-on projects, you'll learn to combine LLMs with LangChain's flexible workflows and Hugging Face's robust models, making complex AI development accessible and efficient.What sets this book apart?Prompt Engineering: Master crafting prompts to guide LLMs for precise, context-aware responses.Retrieval-Augmented Generation: Learn to ground LLMs with external data for accurate, reliable outputs.Agents and Workflows: Build dynamic agents and multi-agent systems to tackle complex tasks.Practical Use Cases: Apply LLMs to real-world projects like coding assistants and e-commerce recommenders.Fine-Tuning and Deployment: Customize models and deploy applications with FastAPI, Streamlit, or Hugging Face platforms.Best Practices: Ensure security, ethics, and performance with actionable strategies.Readers will gain practical skills to create AI applications that solve real problems, backed by code examples and expert insights. Whether you're a beginner or an experienced developer, this book provides the tools to build, customize, and deploy AI solutions with confidence.Don't miss out on mastering AI development! Grab your copy of LLMs in Practice today and start building intelligent applications that stand out. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.