Microsoft free courses, taught by Andrew Ng himself, provide essential courses for top generative AI

Are you ready? Get ready for a new round of learning journey

In today's era of generative AI, are you also fascinated by this technology? For example, you only need to enter a simple Text, in a short moment, a beautiful picture or smooth text will appear in front of you

Many people think that generative artificial intelligence is unfathomable, and it is difficult to understand it without systematic course explanations. Essence. It would be a good thing for the majority of researchers if there are technology companies or well-known scholars to assist in completing this task

So, as a beginner, how do you get started?

Microsoft recently launched a course on generative artificial intelligence specifically designed for beginners. This course is very rich in content, including an introduction to LLM, providing basic engineering knowledge, and teaching how to build text generation and chat applications.

Course link: https:/ /github.com/microsoft/generative-ai-for-beginners

This course has 12 lessons in total. Each lesson contains a short video introduction to the topic, and also provides Jupyter Notebook code examples to explain the relevant topics. project. In addition, users can also link to other resources for more in-depth learning

#Next, let’s take a look at what the main content of each lesson is.

• Lesson 1: How to study this course, mainly introduces the structure of this course, so that readers can understand what this course is about;

• Lesson 2: Introducing generative AI and LLM, allowing users to understand what generative AI is and how LLM works;

• Lesson 3: Exploring and comparing different LLMs , after studying this lesson, it will be clear which model to use in the future;

• Lesson 4: Use generative artificial intelligence responsibly to help users understand the limitations of the basic model And the risks behind artificial intelligence

• The content that needs to be rewritten is: Lesson 5: Understand the prompts of engineering basics and master the structure and usage of the prompts

• Rewritten content is as follows: Lesson 6: How to improve prompt results using advanced prompts and application prompt engineering techniques

• Lesson 7: Building text generation applications;

• Lesson 8: Building a chat application. After studying this lesson, you can help users build an image generation application;

• Lesson 9: Using vectors Database building search application. We show through examples how to create an application that uses embedded vectors to search data

• Lesson 10: Building low-code AI applications;

• The content that needs to be rewritten is: Lesson 11: Integrating external applications and function calls

• The content that needs to be rewritten is: "Lesson 12: Application when developing generative AI applications UX design principles to help developers.”

Let’s take lesson 3 as an example to open the course. First there is a straightforward video introduction. Click on the video to watch this course for free. video.

Then follows the main summary of this lesson, learning objectives, model classification, including models for audio and speech recognition, image generation, and text generation. You can click on the course link to view it, the content is very rich.

After seeing this course, everyone unanimously praised it: "It is indeed a good resource for beginners."

In addition to Microsoft, Andrew Ng, a professor in the Department of Computer Science at Stanford University and a famous artificial intelligence scholar, has launched a generative AI course "Generative AI for Everyone" for all learners

The course link is: https://www.deeplearning.ai/courses/generative-ai-for-everyone/

Andrew Ng said: “Through this course, you Learn how generative AI works, how to apply it in a professional or personal setting, and how it will impact work, business and society. This course is accessible to everyone, whether you have programming experience or are interested in artificial intelligence There is basic knowledge in the field and everyone can participate.”

The main content of this course is divided into three weeks, with a total of two hours of study time per week. Now, all the course content is available for viewing, and everyone can start learning

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