Build LLM & Challenge it to complete lyrics for 80's songs
Unleash your inner lyricist and do a hands-on for creating AI-powered 80s songs with our guided project! Learn the art of text generation, NLP, and create rhymes that transport you back in time. Get ready to drop the mic with style!
4.6 (18 Reviews)
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Language
- English
Topic
- Python
Enrollment Count
- 204
Skills You Will Learn
- Deep Learning, PyTorch, Artificial Intelligence, Natural Language Processing, Python
Offered By
- IBM
Estimated Effort
- 90 minutes
Platform
- SkillsNetwork
Last Update
- February 18, 2025
A Look at the Project Ahead
- Introduction to Language Modeling: This project offers an introduction to the fascinating field of language modeling. You'll get to explore how computers can understand and generate human-like text, which is a fundamental concept in natural language processing (NLP) and artificial intelligence.
- Text Generation: You will learn how to build a text generator from scratch. In particular, you'll focus on creating lyrics inspired by the iconic style of the 80s.
- N-gram Models: You'll gain hands-on experience with N-gram models, which are the basis for many text generation and analysis tasks.
- Neural Networks: As you progress in the project, you'll step into the world of neural networks. You'll build a feedforward neural network using PyTorch, a popular deep-learning framework.
- Natural Language Processing (NLP): Throughout the project, you'll engage in fundamental NLP tasks such as tokenization and sequence analysis. These are essential skills for working with text data and building language models.
What You'll Need
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Language
- English
Topic
- Python
Enrollment Count
- 204
Skills You Will Learn
- Deep Learning, PyTorch, Artificial Intelligence, Natural Language Processing, Python
Offered By
- IBM
Estimated Effort
- 90 minutes
Platform
- SkillsNetwork
Last Update
- February 18, 2025
Instructors
Joseph Santarcangelo
Senior Data Scientist at IBM
Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.
Read moreRoodra Kanwar
Data Scientist at IBM
I am a data scientist by day, superhero by night. Psych! I wish I was that cool. Only the former part is true which is still pretty cool! I believe in constant learning and it is an essential part of being a productive data enthusiast. I am also pursuing my masters in computer science from Simon Fraser University specializing in Big Data. Moreover, knowledge is transfer learning (pun intended!) and what I have gained, I plan on reflecting it back to the data community.
Read moreFateme Akbari
Data Scientist @IBM
I'm a data-driven Ph.D. Candidate at McMaster University and a data scientist at IBM, specializing in machine learning (ML) and natural language processing (NLP). My research focuses on the application of ML in healthcare, and I have a strong record of publications that reflect my commitment to advancing this field. I thrive on tackling complex challenges and developing innovative, ML-based solutions that can make a meaningful impact—not only for humans but for all living beings. Outside of my research, I enjoy exploring nature through trekking and biking, and I love catching ball games.
Read more