In this episode of A Beginner’s Guide to AI, we explore three groundbreaking techniques reshaping the AI landscape:

Fine-Tuning,
Retrieval-Augmented Generation (RAGs), and
Low-Rank Adaptations (LoRAs).

Discover how fine-tuning transforms AI models into specialists, why RAGs are revolutionizing real-time knowledge retrieval, and how LoRAs make powerful AI more accessible and efficient.

Packed with real-world examples—like Vodafone’s innovative use of RAGs to supercharge customer support—you’ll gain a clear understanding of how these techniques are not just technical feats but practical tools for solving everyday challenges.

Tune in to get my thoughts, don't forget to subscribe to our Newsletter!

Want to get in contact? Write me an email: podcast@argo.berlin

This podcast was generated with the help of ChatGPT, Mistral, and Claude 3. We do fact-check with human eyes, but there still might be hallucinations in the output. And, by the way, it's read by an AI voice.

Music credit: "Modern Situations" by Unicorn Heads

Smarter, Not Harder: How AI Techniques Make Efficiency a Reality 15:36 Share

A Beginner's Guide to AI

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Smarter, Not Harder: How AI Techniques Make Efficiency a Reality