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Will AI replace actors, and is RAG already obsolete? In this episode of Call Me Data, David and Peter delve into the rise of Tilly, the AI-generated actress stirring up Hollywood, and Google's powerful new Gemini URL Context Tool.
They debate the future of Retrieval-Augmented Generation (RAG), explore how large context windows change everything, and expose the real cost and trade-offs behind fine-tuning vs RAG-based systems. If you're building with LLMs, this episode is a must-watch.
00:00 Introduction to AI and Tilly
09:23 Exploring Google's Gemini Tool
19:13 Understanding Retrieval-Augmented Generation (RAG)
26:19 The Limitations of RAG
29:14 Understanding Context Windows
34:08 Challenges of Chunking and Similarity Matching
37:35 The Role of Context in Reducing Hallucinations
43:20 RAG vs. Fine-Tuning: Weighing the Options
49:32 The Importance of Strategic Decision-Making
We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale.
Learn More:
Visit our website for insights, services, and case studies:
https://www.allinondata.com
Want to talk AI strategy with us?
Book a free consultation → https://allinondata.com/contact
For All Business Inquiries → [email protected]
About All In on Data:
We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI.
Follow Us for More Content:
David Gleason's LinkedIn: https://linkedin.com/in/david-r-gleason
Peter Memon's LinkedIn: https://linkedin.com/in/petermemon
AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data
Spotify: http://bit.ly/44BhxGs
Apple Podcast: http://bit.ly/3GHBe6i
#hollywood #movies #artificialintelligence
By All In On DataWill AI replace actors, and is RAG already obsolete? In this episode of Call Me Data, David and Peter delve into the rise of Tilly, the AI-generated actress stirring up Hollywood, and Google's powerful new Gemini URL Context Tool.
They debate the future of Retrieval-Augmented Generation (RAG), explore how large context windows change everything, and expose the real cost and trade-offs behind fine-tuning vs RAG-based systems. If you're building with LLMs, this episode is a must-watch.
00:00 Introduction to AI and Tilly
09:23 Exploring Google's Gemini Tool
19:13 Understanding Retrieval-Augmented Generation (RAG)
26:19 The Limitations of RAG
29:14 Understanding Context Windows
34:08 Challenges of Chunking and Similarity Matching
37:35 The Role of Context in Reducing Hallucinations
43:20 RAG vs. Fine-Tuning: Weighing the Options
49:32 The Importance of Strategic Decision-Making
We help you go beyond the hype—offering real-world solutions, tailored strategy, and the insight needed to deploy AI at scale.
Learn More:
Visit our website for insights, services, and case studies:
https://www.allinondata.com
Want to talk AI strategy with us?
Book a free consultation → https://allinondata.com/contact
For All Business Inquiries → [email protected]
About All In on Data:
We’re a full-service Data and AI consulting firm helping companies align strategy with scalable solutions. From roadmap to implementation, we’re your trusted partner for ethical, production-ready AI.
Follow Us for More Content:
David Gleason's LinkedIn: https://linkedin.com/in/david-r-gleason
Peter Memon's LinkedIn: https://linkedin.com/in/petermemon
AIoD LinkedIn: https://www.linkedin.com/company/all-in-on-data
Spotify: http://bit.ly/44BhxGs
Apple Podcast: http://bit.ly/3GHBe6i
#hollywood #movies #artificialintelligence