Imagine you want to learn about Natural Language Processing. You instantly get a 100 page book with chapters, content, and structure. What if you find the language too technical? You can change the prompt and the book – all 100 pages – instantly adapts to your needs. What if you want to learn how to code the technology in python? You can ask for that too, and in seconds, every chapter has code examples alongside the instructional content. That’s the power of an Infinite Bookshelf.
Infinite Bookshelf is an application that scaffolds the creation of books from a one-line prompt using Llama 3 on Groq. It works well on nonfiction books and generates each chapter within seconds. The app mixes Llama 3 8B and Llama 3 70B, utilizing the larger model for generating the structure and the smaller of the two for creating the content. This balances quality with speed and cost to produce fully rendered books with hundreds of pages in less than a minute.
The application’s lightning-fast book generation is made possible by Groq’s cutting-edge inference technology. This allows for a sequence of specialized API calls to occur quickly, maintaining the book quality while generating at impressive speed. The result is a system capable of producing comprehensive books on a wide range of topics in seconds.
Currently, the model only uses the context of the section title to generate the chapter content. In the future, this will be expanded to the fuller context of the book to allow Infinite Bookshelf to generate quality fiction books as well. As with all LLMs, Infinite Bookshelf may generate inaccurate information or placeholder content. Content should be manually verified.
Experience the future of knowledge sharing and entertainment today by unlocking your Infinite Bookshelf – where AI meets literature in real-time.
About the Author:
Benjamin Klieger is an AI applications intern at Groq. He leverages the uniquely fast inference of Groq® LPU™ AI inference technology to build applications which otherwise wouldn’t be possible or as practical without it. Benjamin is a student at Stanford University studying Computer Science. His background includes AI research, product leadership, and entrepreneurship.