Generative AI: Comparing DSF and RAG Techniques

In a rapidly evolving digital landscape, businesses are increasingly turning to generative AI to transform their operations and elevate user experiences. Imagine stepping into the role of a decision-maker faced with the challenge of navigating a vast sea of data. By utilizing the right AI tools, one can create intelligent responsive interfaces that not only understand but anticipate needs across various domains like banking, legal, and medical.
Join us as we delve into Domain-Specific Finetuning (DSF) and Retriever-Augmented Generation (RAG). This webinar will offer a panoramic view of how these methodologies enhance AI applications and set new standards in efficiency and accuracy.
Key insights include:
🔹Introduction to how generative AI is being integrated into sectors like banking, legal, and medical to streamline operations and improve service delivery
🔹Detailed examination of the two primary methods for implementing generative AI, focusing on their functions, benefits, and optimal use cases
🔹Insight into cutting-edge techniques such as RAFT and comparisons of Llama2-7B with state-of-the-art models like GPT-4
Table of Contents:
00:00 Introduction
05:05 RAG
15:57 RAG Pipeline
28:52 RAFT Training Dataset Preparation
36:33 RAFT: Inference
39:07 Comparisons
48:12 RAFT
52:49 How to Use RAFT
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