Gpt-3: Building Innovative Nlp Products Using Large Language Models

Gpt-3: Building Innovative Nlp Products Using Large Language Models

作者: Kublik Sandra Saboo Shubham
出版社: O'Reilly
出版在: 2022-08-16
ISBN-13: 9781098113629
ISBN-10: 1098113624
裝訂格式: Quality Paper - also called trade paper
總頁數: 148 頁





內容描述


GPT-3: NLP with LLMs is a unique, pragmatic take on Generative Pre-trained Transformer 3, the famous AI language model launched by OpenAI in 2020. This model is capable of tackling a wide array of tasks, like conversation, text completion, and even coding with stunningly good performance. Since its launch, the API has powered a staggering number of applications that have now grown into full-fledged startups generating business value. This book will be a deep dive into what GPT-3 is, why it is important, what it can do, what has already been done with it, how to get access to it, and how one can build a GPT-3 powered product from scratch. This book is for anyone who wants to understand the scope and nature of GPT-3. The book will evaluate the GPT-3 API from multiple perspectives and discuss the various components of the new, burgeoning economy enabled by GPT-3. This book will look at the influence of GPT-3 on important AI trends like creator economy, no-code, and Artificial General Intelligence and will equip the readers to structure their imaginative ideas and convert them from mere concepts to reality.


作者介紹


Sandra Kublik is an AI entrepreneur, evangelist, and community builder, fostering AI business innovation in her work. She has served as a mentor and coach to AI-first companies, co-founded the world's first independent AI acceleration program for startups, and grew and successfully scaled a global hackathon community of AI professionals and enthusiasts. She is an active spokeswoman on the subjects of NLP and synthetic media. She runs a YouTube channel where she interviews ecosystem stakeholders and discusses groundbreaking AI trends with fun and educational content.Shubham Saboo has played multiple roles from a data scientist to an AI evangelist at renowned firms across the globe, where he was involved in building organization-wide data strategies and technology infrastructure to create and scale data science and machine learning practice from scratch. His work as an AI evangelist has led him to build communities and reach out to a broader audience to foster the exchange of ideas and thoughts in the burgeoning field of artificial intelligence. As part of his passion for learning new things and sharing knowledge with the community, he writes technical blogs on the advancements in AI and its economic implications. In his spare time, you can find him travelling across the country which enables him to immerse in different cultures and refine his worldview based on his experiences.




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