Exploration of GPT-3: The book explores GPT-3, a powerful language model, and its capabilities
Business applications: The book provides practical knowledge on using GPT-3 to create new business products
Examination of AI trends: The book examines the impact of GPT-3 on emerging creator economy and trends like no-code & AGI
Description
GPT-3 has made creating AI apps simpler than ever. This book provides a comprehensive guide on how to utilize the OpenAI API with ease. It explores imaginative methods of utilizing this tool for your specific needs and showcases successful businesses that have been established through its use.
The book is divided into two sections, with the first focusing on the fundamentals of the OpenAI API. The second part examines the dynamic and thriving environment that has arisen around GPT-3.
Chapter 1 sets the stage with background information and defining key terms. Chapter 2 goes in-depth into the API, breaking it down into its essential components, explaining their functions and offering best practices. Chapter 3, you will build your first app with GPT-3.
Chapter 4 features interviews with the founders of successful GPT-3-based products, who share challenges and insights gained. Chapter 5 examines the perspective of enterprises on GPT-3 and its potential for adoption. The problematic consequences of widespread GPT-3 adoption, such as misapplication and bias, are addressed along with efforts to resolve these issues in Chapter 6. Finally, Chapter 7 delves into the future by exploring the most exciting trends and possibilities as GPT-3 becomes increasingly integrated into the commercial ecosystem.
What you will learn
Learn the essential components of the OpenAI API along with the best practices
Build and deploy your first GPT-3 powered application
Learn from the journeys of industry leaders, startup founders who have built and deployed GPT-3 based products at scale
Look at how enterprises view GPT-3 and its potential for adoption for scalable solutions
Navigating the Consequences of GPT-3 adoption and efforts to resolve them
Explore the exciting trends and possibilities of combining models with GPT-3 with No code
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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.
Sandra Kublik is an NLP expert, educator and entrepreneur. She is currently working as a member of Developer Relations at Cohere, where she focuses on facilitating the broad adoption of large language models. She is an active spokeswoman on NLP and large language models. She runs a YouTube channel where she interviews ecosystem stakeholders and discusses top AI trends. A mentor and coach to AI-first startups, co-founder of an AI acceleration program for startups Nextgrid, and hackathon community Deep Learning Labs.
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