Udemy – AI Engineering Bootcamp RAG (Retrieval Augmented Generation) for LLMs
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Thrive in the AI era with this hands-on course that teaches you to build better AI applications using one of the most important AI techniques used in the real-world to supplement an AI model’s knowledge with proprietary or new information: Retrieval Augmented Generation (RAG).
Learn to make smarter AI systems by combining LLMs with Retrieval-Augmented Generation (RAG). Build real-world projects using RAG architecture including chatbots, financial analysis tools, and much more!
The short version is that an AI Engineer works on the entire lifecycle of an AI application – that is, an application that utilizes AI at its core. An AI Engineer takes AI models, including Large Language Models, and customizes them to their needs.
That requires everything from building models using custom datasets, to training and tuning models, to deploying models and scaling them using cloud technologies.
The role is growing like wildfire, but it’s still evolving and will no doubt continue evolving as the AI landscape changes.
RAPIDGATOR:
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TURBOBIT:
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