LinkedIn – Natural Language Generation with Python 2024-1

Natural Language Generation with Python. This course teaches key concepts and essential skills in natural language processing (NLP) using Python. Given the growing importance of this field in artificial intelligence, this course is designed by Janani Ravi to familiarize developers with modern NLP tools and techniques. First, the basics of text generation with libraries such as SimpleNLG are taught, followed by advanced deep learning-based methods, including transformer models and the Hugging Face Transformers library. Participants learn how to tune models for text generation and use various decoding strategies such as Greedy Search, Beam Search, and sampling. Topics such as tokenization, computing evaluation metrics such as ROUGE, and working with real data in the Google Colab environment are also covered. This course is suitable for those who want to strengthen their skills in developing intelligent software and includes practical projects such as financial analysis and automated text generation. In the end, learners will be able to implement and optimize language models like GPT-2.

What you will learn:

• Understand the basics of natural language generation
• Using SimpleNLG to generate text
• Introduction to transformer models and the Hugging Face Transformers library
• Fine-tuning a model for natural language generation
• Configuring decoding strategies for text generation
• Evaluating the quality of the generated text with ROUGE scores

Who is this course suitable for?

• Software developers interested in learning natural language generation.
• Artificial intelligence professionals who want to improve their skills in natural language generation.
• Anyone interested in the applications of natural language generation in various fields.

Course details for Natural Language Generation with Python

• Publisher: LinkedIn
• Instructor: Janani Ravi
• Training level: Advanced
• Training duration: 1 hour and 49 minutes

Course topics

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187 MB