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How LLMs Help Workera Measure Over 3.2 MILLION Skills (and Counting)! | Enginears Podcast

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Manage episode 397418812 series 2890471
Contenu fourni par Enginears. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Enginears 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.

00:00 - Enginears Intro.

00:52 - Who is Matija?

03:20 - What has been you biggest challenge when shifting from an embedded engineer to a product engineer

05:23 - How did that transition occur?

07:13 - Who are Workera?

10:00 - What data are you capturing and how are you capturing it?

13:40 - How have Large Language Models (LLM’S) used in the platform?

14:19 - How Have LLM’S impacted the business and how were they introduced into the business?

18:09 - How are LLM’S used at Workera?

24:40 - How are LLM’S different to traditional software and algorithms that you have built previously?

28:09 - What do you think are the top three skills does an engineer need to thrive in this landscape?

31:41 - How has AI impacted the ability to scale at Workera?

35:37 - What is the shapeup methdology, how is it used at Workera and how does it compare to scrum?

41:58 - In terms of talent what are you looking to introduce in to the business in the next 12 months?

43:22 - Outro.

Prefer to watch your podcasts?
Check us out on YouTube: https://www.youtube.com/@Enginearsio

Other Podcast Platforms: https://smartlink.ausha.co/enginears


Edited
by: hunterdigital.co.uk


Hosted by Ausha. See ausha.co/privacy-policy for more information.

  continue reading

119 episodes

Artwork
iconPartager
 
Manage episode 397418812 series 2890471
Contenu fourni par Enginears. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Enginears 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.

00:00 - Enginears Intro.

00:52 - Who is Matija?

03:20 - What has been you biggest challenge when shifting from an embedded engineer to a product engineer

05:23 - How did that transition occur?

07:13 - Who are Workera?

10:00 - What data are you capturing and how are you capturing it?

13:40 - How have Large Language Models (LLM’S) used in the platform?

14:19 - How Have LLM’S impacted the business and how were they introduced into the business?

18:09 - How are LLM’S used at Workera?

24:40 - How are LLM’S different to traditional software and algorithms that you have built previously?

28:09 - What do you think are the top three skills does an engineer need to thrive in this landscape?

31:41 - How has AI impacted the ability to scale at Workera?

35:37 - What is the shapeup methdology, how is it used at Workera and how does it compare to scrum?

41:58 - In terms of talent what are you looking to introduce in to the business in the next 12 months?

43:22 - Outro.

Prefer to watch your podcasts?
Check us out on YouTube: https://www.youtube.com/@Enginearsio

Other Podcast Platforms: https://smartlink.ausha.co/enginears


Edited
by: hunterdigital.co.uk


Hosted by Ausha. See ausha.co/privacy-policy for more information.

  continue reading

119 episodes

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