Published on: 2024-11-28 10:33:35
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Generative AI Architectures with LLM, Prompt, RAG, Vector DB is a course published by Udemy Online Academy. It is a comprehensive course designed for developers and AI enthusiasts looking to explore the cutting-edge technologies behind generative AI. The course covers architectures of large language models (LLM), rapid engineering techniques, retrieval-augmented generation (RAG), and the use of vector databases to enhance AI capabilities. Individuals will explore how these components interact to create powerful AI systems that can generate human-like text, answer questions, and retrieve information efficiently.
This course goes beyond learning about generative AI, but is also a deep dive into the world of how to design advanced AI solutions by integrating LLM architectures into enterprise applications. The course emphasizes practical applications, including building generative AI models for a range of tasks such as content generation, automated response, and data retrieval. By the end of the course, students will be equipped to design and implement advanced AI systems using LLM, queries, RAG, and vector databases.
Publisher: Udemy
Instructors: Mehmet Ozkaya
Language: English
Level: Introductory to Advanced
Number of Lessons: 72
Duration: 5 hours and 27 minutes
Basics of Software Architectures
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Subtitle: None
Quality: 1080p
2 GB
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