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Innhold levert av Christian Silva & Marc Montanari, Christian Silva, and Marc Montanari. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Christian Silva & Marc Montanari, Christian Silva, and Marc Montanari eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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#30 - To RAG or not RAG

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Manage episode 424645249 series 3407385
Innhold levert av Christian Silva & Marc Montanari, Christian Silva, and Marc Montanari. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Christian Silva & Marc Montanari, Christian Silva, and Marc Montanari eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Grab your mug, it's Data Coffee Break time with Christian and Marc! ☕️

This episode, we're brewing up a hot topic: RAG vs. Giant Context Windows. You might be wondering, what in the world is RAG and why should I care? Well, settle in because we're about to break it down for you, no matter if you're an AI rockstar or just dipping your toes into the data pool.

We'll be chatting about the latest news in the wild world of AI, then diving deep into this whole RAG situation. Is the future all about these Large Context Window models with millions of tokens, or will RAG still be the king of the castle? We'll explore the pros and cons of each approach, so you can see which one might be the better fit for your next project.

Plus, we won't just leave you hanging with theory! We'll also be uncovering the real-world uses for both RAG and LCLs. Think of it like peeking into the future and seeing how these technologies will change the game!

So, grab your favourite drink, hit play, and get ready for a stimulating conversation that will leave you hyped about the future of AI,

Follow us on LinkedIn Instagram Twitter TikTok and Youtube !
Music by Skilsel.
This podcast represents our views and not the ones of our employers.

  continue reading

30 episoder

Artwork
iconDel
 
Manage episode 424645249 series 3407385
Innhold levert av Christian Silva & Marc Montanari, Christian Silva, and Marc Montanari. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Christian Silva & Marc Montanari, Christian Silva, and Marc Montanari eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Grab your mug, it's Data Coffee Break time with Christian and Marc! ☕️

This episode, we're brewing up a hot topic: RAG vs. Giant Context Windows. You might be wondering, what in the world is RAG and why should I care? Well, settle in because we're about to break it down for you, no matter if you're an AI rockstar or just dipping your toes into the data pool.

We'll be chatting about the latest news in the wild world of AI, then diving deep into this whole RAG situation. Is the future all about these Large Context Window models with millions of tokens, or will RAG still be the king of the castle? We'll explore the pros and cons of each approach, so you can see which one might be the better fit for your next project.

Plus, we won't just leave you hanging with theory! We'll also be uncovering the real-world uses for both RAG and LCLs. Think of it like peeking into the future and seeing how these technologies will change the game!

So, grab your favourite drink, hit play, and get ready for a stimulating conversation that will leave you hyped about the future of AI,

Follow us on LinkedIn Instagram Twitter TikTok and Youtube !
Music by Skilsel.
This podcast represents our views and not the ones of our employers.

  continue reading

30 episoder

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