Fine-Tuning, RAG, or Prompt Engineering? The Ultimate LLM Showdown Explained!

In this video, we dive into the world of Large Language Models (LLMs) with a showdown between three powerful approaches: Fine-Tuning, Retrieval-Augmented Generation (RAG), and Prompt Engineering. Whether you’re building a financial services tool or enhancing your AI suite, choosing the right approach is key to success!
We break down each method, explore the decision-making process, and offer insights into factors like cost, scalability, and complexity. Watch to find out which strategy is your secret sauce for crafting a killer LLM-powered product. Don’t miss out on this essential guide for AI enthusiasts and developers!
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[@monikapatralekh2628]

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[@dr.l.n.patralekh4365]

Highly commendable

[@patralekh]

Thank you :)

[@ManjuPatralekh]

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[@RajeshJha-t5c]

👍

[@dr.l.n.patralekh4365]

Informative

[@monikapatralekh2628]

Well explained

[@patralekh]

glad you liked it :)

[@ManjuPatralekh]

Good

[@bharatikumar9521]

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