Description
Generative AI with Large Language Models, generative artificial intelligence training course with large language models; Published by Coursera Academy. In Generative AI with Large Language Models (LLMs), you will learn the basics of how generative AI works and how to apply it to real-world applications. By taking this course you will learn to: Understand generative AI in depth Describe the key steps in an LLM-based generative AI lifecycle, from data collection and model selection to performance evaluation and deployment. Describe in detail the transformer architecture that powers the LLMs, how they are trained, and how fine-tuning enables the LLMs to adapt to a variety of specific use cases. Use empirical scaling rules to optimize the model’s objective function across data set size, computation volume, and inference requirements. Apply advanced training, tuning, inference, tooling, and deployment methods to maximize the performance of models within the specific constraints of your project. After hearing stories from researchers and industry experts, you’ll explore the challenges and opportunities that productive artificial intelligence creates for businesses.
Developers who have a good fundamental understanding of how LLMs work, as well as the best practices for training and deploying them, can make better decisions for their companies and build working prototypes faster. This course will help students develop practical concepts on how to optimally use this new and exciting technology. This is an intermediate course, so you should have some experience coding in Python to get the most out of it. You should also be familiar with the basics of machine learning such as supervised and unsupervised learning, loss functions, and splitting data into training, validation, and test sets. If you’ve taken the Machine Learning or Deep Learning specialization from DeepLearning.AI, you’ll be ready to take this course and delve deeper into the fundamentals of generative AI.
What you will learn
- Acquiring basic knowledge, practical skills and practical understanding of how productive artificial intelligence works
- Check out the latest research on Gen AI to understand how companies are creating value with advanced technology.
- Training AWS AI professionals who are actively applying AI in business today
Who is this course suitable for?
- This course is perfect for anyone with a background in Python who is ready to delve deeper into large language models and generative artificial intelligence.
Specifications of the Generative AI with Large Language Models course
- Publisher: Coursera
- teacher : Antje Barth , Chris Fregly
- English language
- Education level: Intermediate
- Number of courses: 4
- Training duration: about 16 hours to complete the entire course
Chapters of the Generative AI with Large Language Models course
Course prerequisites
- This is an intermediate course, so you should have some experience coding in Python to get the most out of it.
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
Version 2023/11 compared to 2023/6: The number of text files has increased by 18. (Also, the lab 2 walkthrough video was modified in the second week of the second season)
download link
File(s) password: www.downloadly.ir
Size
836 dMB
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