GPT-3: Building Innovative NLP Products Using Large Language Models
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.
1. Era of Large Language Models Natural Language Processing: Under the Hood Language Models: Bigger & Better The Generative Pre-Trained Transformer: GPT-3 Generative models Pre-trained models Transformer models Sequence-to-sequence models Transformers and attention mechanisms A Brief History of GPT-3 Accessing the OpenAI API 2. Using the OpenAI API Navigating OpenAI Playground Prompt Engineering & Design Components of the 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 Model Series Endpoints GPT-3 Fine-tuning Prepare and upload training data Train a new fine-tuned model Using the fine-tuned model Tokens Pricing Performance on Conventional NLP Tasks Text Classification Zero-Shot Classification Single Shot/ Few Shots Classification Batch Classification Named Entity Recognition Text Summarization Text Generation Summary 3. Programming with GPT-3 Using OpenAI API with Python Using OpenAI API with Go Using OpenAI API with Java GPT-3 Sandbox Powered by Streamlit Going Live with GPT-3-Powered Applications Conclusion About the Authors
How to download source code?
1. Go to:
2. Search the book title:
GPT-3: Building Innovative NLP Products Using Large Language Models, sometime you may not get the results, please search the main title
3. Click the book title in the search results
Publisher resources section, click
Download Example Code.
1. Disable the AdBlock plugin. Otherwise, you may not get any links.
2. Solve the CAPTCHA.
3. Click download link.
4. Lead to download server to download.