Gpt-3 : the ultimate guide to building NLP products with OpenAI API / Sandra Kublik, Shubham Sabo.

Format:

Book

Author/Creator:

Kublik, Sandra, author.

Saboo, Shubham, author.

Language:

English

Subjects (All):

Natural language processing (Computer science).

Generative programming (Computer science).

Physical Description:

1 online resource (151 pages)

Edition:

1st ed.

Place of Publication:

Birmingham, England ; Mumbai : Packt Publishing, [2022]

Biography/History:

Kublik Sandra: 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. Saboo Shubham: 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.

Summary:

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.

Contents:

Cover

Copyrights

PREFACE

Chapter 1: THE LARGE LANGUAGE MODEL REVOLUTION

A Behind-the-Scenes Look at Natural Language Processing

Language Models Getting Bigger &amp

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

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

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?

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: DEMOCRATIZING ACCESS TO AI

No Code? No Problem!

Access and Model-as-a-Service

Conclusion.

Notes:

Description based upon print version of record.

CONCLUSION: DEMOCRATIZING ACCESS TO AI

Description based on print version record.

ISBN:

9781805120889

1805120883

OCLC:

1369644384