Exploring Generative AI with Our Friends from The Cloud Architects Podcast

Exploring Generative AI with Our Friends from The Cloud Architects Podcast

Posted on July 18, 2024 0 Comments
Graphic of device with "The Cloud Architects Podcast: Data is the New Oil" onscreen

We were thrilled to join The Cloud Architects Podcast team—Nicolas Blank, Warren Du Toit and Chris Goosen—for an engaging conversation about the intricacies and applications of AI, LLMs and data platforms. Over two insightful episodes, we examined generative AI, the role of the prompt architect and the concept of RAG (Retrieval Augmented Generation). We also discussed why data is the new oil and AI is nuclear fusion—both powering limitless opportunities for the enterprise.

Understanding Generative AI and Its Challenges

In our first episode, we unpacked the complexities of generative AI, highlighting tools like ChatGPT and Microsoft Copilot. While these tools are powerful, they come with significant challenges. The primary issues include the high cost and effort involved in training models, and the tendency of LLMs (Large Language Models) to produce hallucinations—responses that are plausible but inaccurate.

The Role of a Prompt Architect

A key takeaway from this discussion was the importance of the "prompt architect" role. Unlike a prompt engineer, who merely creates prompts, a prompt architect designs pathways for users to build and refine these prompts, enhancing interactions with AI tools. This approach helps reduce the risk of hallucinations and improves the reliability of AI outputs.

Building Literacy and Adoption

We also discussed the need for literacy in AI prompting. Starting AI education early, even with children, can prepare future generations to integrate AI seamlessly into their professional lives. For businesses, focusing on small, valuable projects can prove AI's potential and gradually build a culture of adoption. This iterative, agile approach can lead to significant improvements in efficiency and innovation.

 

The Importance of a Robust Data Platform

In the second part of our discussion, we focused on the foundational element that drives AI: data. We emphasized that to maximize the benefits of AI and LLMs, organizations need a solid data platform. A multi-model database that can connect to and handle both structured and unstructured data is essential for organizations. This flexibility allows businesses to store and retrieve data in various formats, making it easier to feed relevant information into AI models.

Introducing Retrieval Augmented Generation (RAG)

One of the most exciting concepts we explored was Retrieval Augmented Generation (RAG). This approach uses a knowledge model to refine AI prompts and responses, significantly improving accuracy and trustworthiness. By semantically linking data and applying these links to AI prompts, organizations can achieve more reliable and contextually accurate results.

5-step RAG process flow chart: 1. Ingest content 2.  Semantically tag private document sections 3. Tag concepts in user queries 4. Generate customized prompt for GenAI using relevant enterprise data from semantic search with user's query 5. Answer

 

Overcoming the Hype Curve

As with any emerging technology, AI is surrounded by loads of hype. We discussed taking a cautious approach here, recommending that organizations start small and scale their AI initiatives gradually. This measured approach helps manage expectations and ensures the value of AI is realized without falling prey to unrealistic promises.

Future Directions and Innovations

We concluded with a look at future innovations, such as integrating vector search and data compression into LLMs. These advancements promise to make AI even more powerful and efficient, creating new possibilities for businesses to explore.

The Progress Data Platform accelerates data, AI and analytics projects, manages costs and delivers enterprise growth. Visit our new solutions page to learn how this suite of tools helps power AI and deliver value to your business.

Our Involvement with The Cloud Architects Podcast

Participating in The Cloud Architects Podcast was an incredible experience. We were delighted to share our insights on AI, LLMs and data platforms with Nicolas, Warren and Chris. Their enthusiasm and expertise made for a dynamic and informative discussion, and we were grateful for the opportunity to engage with their audience.

These episodes provide a comprehensive overview of the current state and future potential of AI and LLMs. By focusing on the roles of prompt architects, the critical importance of data and the use of data connections, we aim to inspire listeners to harness the full power of these technologies in their own organizations.

For more insights and discussions, tune in to The Cloud Architects Podcast on YouTube, SoundCloud or Spotify. And don’t forget to check out our free ebook, Unleash the Power of Generative AI Systems in Your Enterprise.

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Philip Miller

Philip Miller serves as the Senior Product Marketing Manager for AI at Progress. He oversees the messaging and strategy for data and AI-related initiatives. A passionate writer, Philip frequently contributes to blogs and lends a hand in presenting and moderating product and community webinars. He is dedicated to advocating for customers and aims to drive innovation and improvement within the Progress AI Platform. Outside of his professional life, Philip is a devoted father of two daughters, a dog enthusiast (with a mini dachshund) and a lifelong learner, always eager to discover something new.

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