Hands-On AI: Build a RAG Model from Scratch with Open Source
Hands-On AI: Build a RAG Model from Scratch with Open Source
Released: 10/2025
Duration: 2h 21m 11s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 364.34 MB
Genre: eLearning | Language: English
Released: 10/2025
Duration: 2h 21m 11s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 364.34 MB
Genre: eLearning | Language: English
In this hands-on course, physicist and educator Dr. Alaa Moussawi guides you toward mastery of Retrieval-Augmented Generation (RAG) models. Learn to construct your own custom AI bots by integrating vector databases with language models for contextually accurate responses. Explore essential concepts such as vector embeddings, query processing, and prompt engineering. Learn how to optimize your resources by running lightweight models efficiently, even on limited hardware. Find out how to generate effective vector embeddings and extract relevant information from diverse data sources. Benefit from the flexibility of open-source software as you adapt the models to specific domains or styles, while customizing the knowledge base of your bot. Keep innovating and pushing boundaries with retrieval-augmented intelligence and join the vibrant open-source community in this exploratory learning adventure.
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