Summary

As we wrap up our hands-on approach to pragmatic AI implementations, it’s worth reflecting on the transformative journey we’ve embarked on together, exploring the dynamic world of adaptive RAG. We first examined how HF not only complements but also critically enhances generative AI, making it a more powerful tool customized to real-world needs. We described the adaptive RAG ecosystem and then went hands-on, building from the ground up. Starting with data collection, processing, and querying, we integrated these elements into a RAG-driven generative AI system. Our approach wasn’t just about coding; it was about adding adaptability to AI through continuous HF loops.

By augmenting GPT-4’s capabilities with expert insights from previous sessions and end-user evaluations, we demonstrated the practical application and significant impact of HF. We implemented a system where the output is not only generated but also ranked by end-users. Low rankings...