Gpt-3 : The Ultimate Guide to Building NLP Products with OpenAI API /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Kublik, Sandra (Autor), Saboo, Shubham (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, Limited, 2023.
Temas:
Natural language processing (Computer science)
Generative programming (Computer science)
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Cover
  • Copyrights
  • 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

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