Lian Yu: Zhongguo Tuo Pai De Ku Nan Yu Fen Dou Zhongguo Tuo Pai De Ku Nan Yu Fen Dou 炼狱: 中国托派的苦难与奋斗 中国托派的苦难与奋斗

GPT-3: The Ultimate Guide To Building NLP Products With OpenAI API is a comprehensive book on the Generative Pre-trained Transformer 3 AI language model, covering its significance, capabilities, and application in creating innovative NLP Products. Key Features 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 Book 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 Who this book is for This book caters to individuals from diverse backgrounds, not just technical experts. It should be useful to you if you are: A data expert seeking to improve your AI expertise An entrepreneur looking to revolutionize the AI industry A business leader seeking to enhance your AI knowledge and apply it to informed decision making A content creator in the language domain looking to utilize GPT-3's language abilities for creative and imaginative projects Anyone with an AI idea that was previously deemed technically unfeasible or too costly to execute Table of Contents The Large Language Model Revolution Getting Started with OpenAI API GPT-3 and Programming GPT-3 as Enabler for Next-Gen Startups GPT-3 as the Next Step in Corporate Innovation GPT-3: The Good, the Bad and the Ugly Democratizing Access to AI Appendix Cover Copyrights Table of Contents PREFACE Chapter 1: THE LARGE LANGUAGE MODEL REVOLUTION A Behind-the-Scenes Look at Natural Language Processing Language Models Getting Bigger & Better The Generative Pre-Trained Transformer: GPT-3 Generative models Pre-trained models Transformer Models Sequence-to-sequence models Transformer attention mechanisms GPT-3: A Brief History GPT-1 GPT-2 GPT-3 Accessing the OpenAI API Chapter 2: GETTING STARTED WITH OPENAI API OpenAI Playground Prompt Engineering and Design Breaking Down OpenAI API Execution Engine Response Length Temperature and Top P Frequency and Presence Penalties Best of Stop Sequence Inject Start Text and Inject Restart Text Show Probabilities Execution Engines DaVinci Curie Babbage Ada Instruct Series Endpoints List Engines Retrieve Engines Completions Semantic Search Files Embeddings Customizing GPT-3 Apps Powered by Customized GPT-3 Models How to customize GPT-3 for your application Tokens Pricing GPT-3’s Performance on Standard NLP Tasks Text Classification Zero-Shot Classification Single-shot and Few Shot Text Classification Batch Classification Named Entity Recognition Text Summarization Text Generation Article Generation Social Media Post Generation Conclusion Chapter 3: GPT-3 AND PROGRAMMING How to use OpenAI API with Python? How to use OpenAI API with Go? How to use OpenAI API with Java? GPT-3 Sandbox Powered by Streamlit Conclusion Chapter 4: GPT-3 AS ENABLER FOR NEXT-GEN STARTUPS Model-as-a-Service A Closer Look at the New Startup Environment: Case Studies Creative Applications of GPT-3: Fable Studio Data Analysis Applications of GPT-3: Viable Chatbot Applications of GPT-3: Quickchat Marketing Applications of GPT-3: Copysmith Coding Applications of GPT-3: Stenography An Investor’s Outlook on the GPT-3 Startup Ecosystem Conclusion Chapter 5: GPT-3 AS THE NEXT STEP IN CORPORATE INNOVATION Case Study: GitHub Copilot How it works Developing Copilot What does low-code/no-code programming mean? Scaling with the API What’s Next for Github Copilot? Case Study: Algolia Answers Evaluating NLP options Data Privacy Cost Speed and Latency Lessons Learned Case Study: Microsoft’s Azure OpenAI Service A Partnership That Was Meant to Be An Azure-Native OpenAI API Resource Management Security and Data Privacy Model-as-a-Service at the Enterprise Level Other Microsoft AI and ML Services Advice for Enterprises OpenAI or Azure OpenAI Service: Which should you use? Conclusion Chapter 6: GPT-3: THE GOOD, THE BAD, AND THE UGLY Tackling AI Bias Anti-Bias Countermeasures Low-quality content and the spread of misinformation The Green Footprint of LLMs Proceeding with Caution Conclusion CONCLUSION: DEMOCRATIZING ACCESS TO AI No Code? No Problem! Access and Model-as-a-Service Conclusion GPT-3: The Ultimate Guide To Building NLP Products With OpenAI API is a comprehensive book on the Generative Pre-trained Transformer 3 AI language model, covering its significance, capabilities, and application in creating innovative NLP Products. * 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 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. 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. ## What you will learn ## Who this book is for * A data expert seeking to improve your AI expertise * An entrepreneur looking to revolutionize the AI industry * A business leader seeking to enhance your AI knowledge and apply it to informed decision making * A content creator in the language domain looking to utilize GPT-3's language abilities for creative and imaginative projects * Anyone with an AI idea that was previously deemed technically unfeasible or too costly to execute 1. The Large Language Model Revolution 2. Getting Started with OpenAI API 3. GPT-3 and Programming 4. GPT-3 as Enabler for Next-Gen Startups 5. GPT-3 as the Next Step in Corporate Innovation 6. GPT-3: The Good, the Bad and the Ugly 7. Democratizing Access to AI 8. Appendix