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ChatGPT and Large Language Models

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Manage episode 362921705 series 2502116
Contenu fourni par MapScaping. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par MapScaping ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

I am sure you have heard of ChatGPT by now so the hope of this episode is to give you some more context about what is it built on and how it works.

To do that I invited Daniel Whitneck back on the podcast

You can connect with Daniel here

https://datadan.io/

and listen to his previous episode here:

https://mapscaping.com/podcast/an-introduction-to-artificial-intelligence/

This is perhaps the quote for the episode that I have spent the most time thinking about

"We always thought AI would be logical and lack creativity - but it is almost the exact opposite"

This reframes the idea of being wrong to being creative which I think you could argue really depends on the context!

If you have not already played around with ChatGPT it's well worth spending the time to experiment with it ... while its still free ;)

https://chat.openai.com/auth/login

Further listening

If you have not already listened to this episode about computer vision and GeoAI you might find it interesting. Listen out for the discussion around plausible / realistic data and real measurements - I think this gives more context to the use cases for generative AI

https://mapscaping.com/podcast/computer-vision-and-geoai/

You might also enjoy this episode about fake satellite imagery

https://mapscaping.com/podcast/fake-satellite-imagery/

BTW I have started a job board for geospatial people

feel free to check it out!

  continue reading

240 episodes

Artwork
iconPartager
 
Manage episode 362921705 series 2502116
Contenu fourni par MapScaping. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par MapScaping ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

I am sure you have heard of ChatGPT by now so the hope of this episode is to give you some more context about what is it built on and how it works.

To do that I invited Daniel Whitneck back on the podcast

You can connect with Daniel here

https://datadan.io/

and listen to his previous episode here:

https://mapscaping.com/podcast/an-introduction-to-artificial-intelligence/

This is perhaps the quote for the episode that I have spent the most time thinking about

"We always thought AI would be logical and lack creativity - but it is almost the exact opposite"

This reframes the idea of being wrong to being creative which I think you could argue really depends on the context!

If you have not already played around with ChatGPT it's well worth spending the time to experiment with it ... while its still free ;)

https://chat.openai.com/auth/login

Further listening

If you have not already listened to this episode about computer vision and GeoAI you might find it interesting. Listen out for the discussion around plausible / realistic data and real measurements - I think this gives more context to the use cases for generative AI

https://mapscaping.com/podcast/computer-vision-and-geoai/

You might also enjoy this episode about fake satellite imagery

https://mapscaping.com/podcast/fake-satellite-imagery/

BTW I have started a job board for geospatial people

feel free to check it out!

  continue reading

240 episodes

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