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Innhold levert av Mark and Shashank. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Mark and Shashank 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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Manage episode 444787465 series 3550845
Innhold levert av Mark and Shashank. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Mark and Shashank 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.

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

Artwork
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Manage episode 444787465 series 3550845
Innhold levert av Mark and Shashank. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Mark and Shashank 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.

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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