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Indhold leveret af Mark and Shashank. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Mark and Shashank eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
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Manage episode 444787465 series 3550845
Indhold leveret af Mark and Shashank. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Mark and Shashank eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

In this episode, Mark and Shashank sit down with Greg and Chris, co-founders of AI Maker Space, at a hackathon in Palo Alto at the offices of 500 startups. They discuss the mission of AI Maker Space to build a community for developing and deploying large language model applications. The conversation covers topics such as the use of retrieval augmented generation (RAG) versus fine-tuning, the role of agents in AI applications, the importance of traditional software engineering skills in AI development, and the future of AI—including vision-language models and embodied AI. Greg and Chris also share advice for newcomers interested in entering the AI field.

https://aimakerspace.io/

https://www.youtube.com/channel/UCbDZFHUjTCCUKyXgcp3g50Q

  continue reading

47 episoder

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Manage episode 444787465 series 3550845
Indhold leveret af Mark and Shashank. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Mark and Shashank eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

In this episode, Mark and Shashank sit down with Greg and Chris, co-founders of AI Maker Space, at a hackathon in Palo Alto at the offices of 500 startups. They discuss the mission of AI Maker Space to build a community for developing and deploying large language model applications. The conversation covers topics such as the use of retrieval augmented generation (RAG) versus fine-tuning, the role of agents in AI applications, the importance of traditional software engineering skills in AI development, and the future of AI—including vision-language models and embodied AI. Greg and Chris also share advice for newcomers interested in entering the AI field.

https://aimakerspace.io/

https://www.youtube.com/channel/UCbDZFHUjTCCUKyXgcp3g50Q

  continue reading

47 episoder

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