🎓 educate

Mastering LLMs

Practitioner-led open courses on LLMs

#machine learning
#educate
#information retrieval
#fine-tuning
#LLMs
Mastering LLMs

Product Details

Mastering LLMs is a free course taught by more than 25 industry veterans, covering topics such as evaluation, retrieval-enhanced generation (RAG), fine-tuning, and more. Course content is provided by experts in the fields of information retrieval, machine learning, recommender systems, MLOps, and data science, and is designed to apply prior techniques in these fields to LLMs to provide users with meaningful advantages. The course is aimed at technical ICs (including engineers and data scientists) who need guidance on how to improve AI products.

Main Features

1
The course contains over 40 hours of content covering topics such as evaluation, RAG, fine-tuning, building applications, and prompt engineering.
2
Course content is well organized and divided into topic areas, helping learners browse quickly and skip irrelevant content.
3
Chapter summaries, notes, slides, and resources are provided to help learners focus on the most relevant content and learn more.
4
The course is survey-based and focuses on introducing topics rather than diving into code, and it is recommended that you apply what you learn to your personal projects.
5
The course is free and open to everyone and is suitable for technical ICs who have some experience in LLMs and need guidance.
6
The course also provides student feedback and evaluation, demonstrating the actual effectiveness and impact of the course.
7
The course website offers subscription updates, allowing users to access the latest insights and content.

How to Use

1
Visit the course website at https://hamel.dev/blog/posts/course/.
2
Browse the course content and select a topic area of ​​interest.
3
View the chapter summaries for a quick overview of each lecture's topics.
4
Read notes, view slides and resources to learn more.
5
Apply what you learn to personal projects to solidify your understanding.
6
Consider subscribing to course updates to get the latest insights and content.

Target Users

The target audience is technical ICs (including engineers and data scientists) who need guidance and improvement when building AI products. The practicality of the course content and in-depth explanations from experts enable them to better understand and apply LLMs technology.

Examples

Sanyam Bhutani, a partner engineer at Meta, believes that this course expands the applied knowledge of LLMs and the teaching content is not redundant.

Laurian, a full-stack computational linguist, believes that the course is legendary, the community is active, and new discoveries can still be made after studying the course content multiple times.

Andre, CTO, praised the course for providing in-depth insights into LLMs, the lecturers provided excellent lectures and advice, and the course content was rich and practical.

Quick Access

Visit Website →

Categories

🎓 educate
› study education
› Development and Tools

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