Unlocking Data with Generative AI and RAG: Enhance generative AI systems by integrating internal data with large language models using RAG

Price: $39.99
(as of Dec 17,2024 13:40:28 UTC – Details)

ASIN ‏ : ‎ B0DCZF44C9
Publisher ‏ : ‎ Packt Publishing (September 27, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 346 pages
ISBN-10 ‏ : ‎ 1835887910
ISBN-13 ‏ : ‎ 978-1835887905
Item Weight ‏ : ‎ 1.65 pounds
Dimensions ‏ : ‎ 0.5 x 7.5 x 9.25 inches

In the world of artificial intelligence, generative AI systems have the ability to create new content, such as text, images, and music, by learning patterns from existing data. However, these systems are often limited by the data they have access to.

One way to enhance generative AI systems is by integrating internal data with large language models using a technique called Retrieval-Augmented Generation (RAG). RAG combines the strengths of generative AI and retrieval-based methods to unlock the full potential of data-driven AI systems.

By integrating internal data, such as company documents, customer feedback, and historical data, with pre-trained language models like GPT-3 or BERT, RAG can generate more accurate and relevant content. This allows businesses to leverage their proprietary data to create unique and tailored AI solutions for various applications, such as customer service chatbots, content generation, and data analysis.

Unlocking data with generative AI and RAG opens up new possibilities for businesses to extract value from their data assets and create innovative solutions. By combining the power of internal data with large language models, businesses can enhance the capabilities of their AI systems and drive better business outcomes.
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