# Harnessing The Engine Of AI

Page: https://stenobird.com/podcast/ai-engineering-podcast/harnessing-the-engine-of-ai
Text version: https://stenobird.com/podcast/ai-engineering-podcast/harnessing-the-engine-of-ai.md
Podcast: [AI Engineering Podcast](https://stenobird.com/podcast/ai-engineering-podcast)
Published: 2024-12-16T01:59:45+00:00
Episode link: https://www.aiengineeringpodcast.com/kungu-ai-llm-guidance-episode-44
Audio file: https://op3.dev/e/dts.podtrac.com/redirect.mp3/serve.podhome.fm/episode/f6ff0caa-931b-4c08-bfdd-08dc7f5cd336/63869892309983673583919d06-231e-49e0-94fa-f30bc0078077v1.mp3
Processing state: failed
JSON: https://stenobird.com/v1/public/podcasts/ai-engineering-podcast/episodes/harnessing-the-engine-of-ai
Duration seconds: 3313

## Resource

Summary In this episode of the AI Engineering Podcast Ron Green, co-founder and CTO of KungFu AI, talks about the evolving landscape of AI systems and the challenges of harnessing generative AI engines. Ron shares his insights on the limitations of large language models (LLMs) as standalone solutions and emphasizes the need for human oversight, multi-agent systems, and robust data management to support AI initiatives. He discusses the potential of domain-specific AI solutions, RAG approaches, and mixture of experts to enhance AI capabilities while addressing risks. The conversation also explores the evolving AI ecosystem, including tooling and frameworks, strategic planning, and the importance of interpretability and control in AI systems. Ron expresses optimism about the future of AI, predicting significant advancements in the next 20 years and the integration of AI capabilities into everyday software applications. Announcements Hello and welcome to the AI Engineering Podcast, your guide to the fast-moving world of building scalable and maintainable AI systems Seamless data integration into AI applications often falls short, leading many to adopt RAG methods, which come with high costs, complexity, and limited scalability. Cognee offers a better solution with its open-source semantic memory engine that automates data ingestion and storage, creating dynamic knowledge graphs from your data. Cognee enables AI agents to understand the meaning of your data, resulting in accurate responses at a lower cost. Take full control of your data in LLM apps without unnecessary overhead. Visit aiengineeringpodcast.com/cognee to learn more and elevate your AI apps and agents.  Your host is Tobias Macey and today I'm interviewing Ron Green about the wheels that we need for harness…

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## Transcript

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