GPT-3 is a state-of-the-art text generation natural language processing (NLP) model created by OpenAI . You can use it to generate text that resembles text generated by a human . This course will cover how to create a web app with 100% Python using Anvil and Hugging Face’s Datasets library . How to use Happy Transformer — a Python library for implementing NLP Transformer models. How to train/implement GPT 2 and how to implement different algorithms. How to fetch data using HuggingFace’s DatAsets library. What you’ll learn in Create a Text Generation Web App with
What you’ll discover in Produce a Text Generation Internet Application with 100% Python (NLP)
- Exactly how to execute advanced text generation AI versions
- Background information concerning GPT-Neo, a state-of-the-art text generation NLP version
- Just how to make use of Delighted Transformer– a Python library for carrying out NLP Transformer versions
- How to train/implement GPT-2
- Just how to carry out various text generation formulas
- How to bring data using Hugging Face’s Datasets library
- Exactly how to educate GPT-Neo using Happy Transformer
- How to create a web app with 100% Python using Anvil
- Just how to hold a Transformer version on Paperspace
Description
GPT-3 is a modern text generation all-natural language processing (NLP) version developed by OpenAI. You can use it to create text that resembles text produced by a human.
This training course will certainly cover exactly how to develop a web app that makes use of an open-source variation of GPT-3 called GPT-Neo with 100% Python. That’s right, no HTML, Javascript, CSS or any type of various other programs language is called for. Simply 100% Python!
You will find out just how to:
Who this course is for:
- Python developers interested in AI and NLP
| File Name : | Create a Text Generation Web App with 100% Python (NLP) free download |
| Content Source: | udemy |
| Genre / Category: | Development |
| File Size : | 1.56 gb |
| Publisher : | Vennify Inc. |
| Updated and Published: | 08 Aug,2022 |
