April 2026
Intermediate
430 pages
9h 49m
English
Content preview from RAG-Driven Generative AI - Second Edition
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8
Boosting RAG Performance with Human Feedback
By 2026, connecting to an LLM has become a commodity task as the technical barrier to entry has collapsed. However, the value barrier has risen. Users no longer accept generic AI-sounding answers, even if they are factually correct. While models like GPT-5.1 possess immense reasoning capabilities, they often lack the specific intent, unspoken context, and general vibe of human experts. That is where human feedback (HF) comes in.
By injecting domain-specific feedback into the generation process, HF steers the model from generic competence to expert alignment. Engaging with this process makes humans an active player in the system's architecture, adding a new dimension to AI projects: hybrid-adaptive ...
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