Description
Large Language Models (LLMs) Concepts, a large language model concept training course published by Datacamp Academy. In this course, you will journey into the world of large language models (LLMs) and discover how they are reshaping the landscape of artificial intelligence. You will explore the factors driving the LLM boom, such as the deep learning revolution, access to data and computing power. This conceptual course examines LLMs and how they transform business and everyday life with real-world examples, from finance to content creation.
You will learn about the fundamentals of LLMs, including natural language processing techniques, fine-tuning strategies, and learning techniques such as zero-shot, few-shot, and multi-shot learning. As you progress, you’ll gain insights into the advanced teaching methodologies that guide LLMs, including next-word prediction, the masked language model, and attentional mechanisms, as well as important ethical and environmental considerations in the construction and You will examine teaching LLMs, such as educational data and privacy concerns. As you complete this course, you’ll learn how to stay ahead of the curve by reviewing the latest research in the LLM field. You will explore future developments focusing on model explainability, unsupervised bias control, computational efficiency, and increased creativity.
What you will learn
- How LLMs advance the development of human-like artificial intelligence
- Getting to know the challenges of teaching LLMs
- LLM teaching methods and techniques
- Key considerations when teaching LLMs
Large Language Models (LLMs) Concepts course specifications
- Publisher: Datacamp
- teacher : Vidhi Chugh
- English language
- Education level: all levels
- Number of courses: 4
- Training duration: 2 hours to complete the course
Chapters of the Large Language Models (LLMs) Concepts course
Course prerequisites
- Understanding Machine Learning
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
105 MB
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