e-learning
Generative Artificial Intelligence and Large Langage Model using Python
Abstract
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- to do
Learning Objectives
- pretraining LLM for DNA
- finetuning LLM
- zeroshot prediction for DNA variants and synthetic DNA sequence generation.
Licence: Creative Commons Attribution 4.0 International
Keywords: Statistics and machine learning, ai-ml, elixir, jupyter-notebook, work-in-progress
Target audience: Students
Resource type: e-learning
Version: 1
Status: Draft
Prerequisites:
- Deep Learning (without Generative Artificial Intelligence) using Python
- Foundational Aspects of Machine Learning
- Foundational Aspects of Machine Learning using Python
- Introduction to Galaxy Analyses
- Introduction to Python
- Neural networks using Python
- Python - Warm-up for statistics and machine learning
Learning objectives:
- pretraining LLM for DNA
- finetuning LLM
- zeroshot prediction for DNA variants and synthetic DNA sequence generation.
Date modified: 2025-03-11
Date published: 2025-03-11
Scientific topics: Statistics and probability
External resources:
Activity log
