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Mastering LLMs
Overview :
Mastering LLMs is a free course featuring over 25 industry veterans covering topics such as evaluation, retrieval-augmented generation (RAG), and fine-tuning. The course content is provided by experts in fields like information retrieval, machine learning, recommendation systems, MLOps, and data science, aimed at applying previous techniques in these domains to LLMs, offering meaningful advantages to users. The course is designed for technical ICs, including engineers and data scientists, who need guidance on improving AI products.
Target Users :
The target audience includes technical ICs (engineers and data scientists) seeking guidance and improvement when building AI products. The course's practical content and in-depth explanations by experts enable them to better understand and apply LLM technology.
Features
The course includes over 40 hours of content, covering topics such as evaluation, RAG, fine-tuning, application development, and prompt engineering.
Content is well-organized and categorized by topic area, helping learners quickly navigate and skip less relevant sections.
Provides chapter summaries, notes, slides, and resources to help learners focus on the most pertinent content and delve deeper.
The course is exploratory in nature, focusing on introducing topics rather than deep coding, and recommends applying learned concepts to personal projects.
The course is freely available to everyone and is suitable for technical ICs with some experience in LLMs who need guidance.
It also offers student feedback and evaluations that demonstrate the course’s practical effects and impact.
The course website provides subscription updates, allowing users to receive the latest insights and content.
How to Use
Visit the course website at https://hamel.dev/blog/posts/course/.
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Browse the course content and select topics of interest.
Review chapter summaries to quickly grasp the theme of each lecture.
Read notes, review slides and resources for deeper insights.
Apply the learned concepts to personal projects to reinforce understanding.
Consider subscribing for course updates to receive the latest insights and content.
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