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Large language models are a type of artificial intelligence that can read and write texts in natural languages, such as English, Chinese, or Spanish. They learn from a lot of text data, such as books, articles, tweets, and more public internet data.
Everyday, LLMs are evolving. New models are coming out and new practices are being introduced to optimize the way use this technology. I have made this course dynamic. Instead of just providing exact information, I also point you to external resources where you can get the latest updates.
In this course, you will discover what large language models are, how they function, and what they can accomplish. We will also discuss some of the advantages and disadvantages of using large language models for different purposes and applications. This course is intended for non-technical people who want to gain a basic understanding of large language models without diving into the technical details or jargons.
What you’ll learn
Examples of Large Language Models aside from ChatGPT.
How Large Language Models work.
How to execute different use cases using ChatGPT.
How to fine-tune a model with custom dataset.
What are the existing challenges of Large Language Models and Generative AI in general.
Resources you can use to further learn about Large Language Models.
By the end of this course, you will have a clearer grasp of large language models and their possible impact in your personal life and professional career.
Everything You Need to Know About Non-technical Introduction to Large Language Models
This course is a comprehensive and well-structured introduction to Non-technical Introduction to Large Language Models. The instructor, Leomar Osorio, is a leading expert in the field with a wealth of experience in Development to share.
The course is well-structured and easy to follow, and the instructor does a great job of explaining complex concepts in a clear and concise way.
The course is divided into sections, each of which covers a different aspect related to Data Science. Each module contains a series of video lectures, readings, and hands-on exercises.
The instructor does a great job of explaining each topic in a clear and concise way. He/She also provides plenty of examples and exercises to help students learn the material.
One of the things I liked most about this course is that it is very practical. The instructor focuses on teaching students the skills and knowledge they need to succeed in the real world. He/She also provides students with access to a variety of resources, including templates, checklists, and cheat sheets.
Another thing I liked about this course is that it is offered on Udemy. Udemy is a great platform for taking online courses because it offers a lot of flexibility for students. Students can choose to take courses at their own pace, and they can access the course materials from anywhere with an internet connection.
Udemy also offers a variety of payment options, so students can find a plan that works for them. The course also has a very active community forum where students can ask questions and interact with each other. The instructor is also very responsive to student questions and feedback.
Overall, I highly recommend this course to anyone who is interested in learning Non-technical Introduction to Large Language Models. It is a well-organized and informative course that will teach you the skills and knowledge you need to succeed.
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