RAG vs Model tuning vs Large prompt window // TRAIN BRAIN

RAG vs Model tuning vs Large prompt window

GitHub → https://goo.gle/3AEsyul
Take a dive into the three primary methods for integrating your data into AI applications: prompts with long context windows, Retrieval Augmented Generation (RAG), and model tuning. Learn the strengths, limitations, and ideal use cases for each approach to make informed decisions for your AI projects in this episode of Serverless Expeditions.
Chapters:
0:00 - Intro
1:17 - Prompts with a long context window
5:05 - Retrieval Augmented Generation (RAG)
7:38 - Model tuning
9:42 - Conclusion
Watch more Serverless Expeditions → https://goo.gle/ServerlessExpeditions
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
#ServerlessExpeditions #GoogleCloud
Speakers: Martin Omander, Gleb Otochkin
Products Mentioned: Cloud General, Gemini, Gemma

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