SOBRE ESTE EPISÓDIO
For Episode 22 of the MLOps Weekly Podcast, Simba sits down with Demetrios Brinkmann, Founder of MLOps Community. They dive deep into the world of embeddings, vector databases, and why AI sometimes feels like ordering too much avocado toast. Tune in for a blend of MLOps wisdom, a sprinkle of humor, and a dash of existential AI crisis!
Inglês
Estados Unidos da América
TRANSCRIÇÃO 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
PESQUISAR EPISÓDIOS PASSADOS
Pesquisar episódios anteriores de MLOps Weekly Podcast.
OUTROS EPISÓDIOS NESTE PODCAST
For Episode 23 of the MLOps Weekly Podcast, Simba chats with Maxim Lukichev, Co-founder and CTO at Telmai. They discuss the importance of a proactive approach to data quality, improving collaboration on data teams, and the critical value of Data Ops in Large Language Models.
For episode 21 of the MLOps Weekly Podcast, Simba Khadder and Kevin Petrie, VP of Research at Eckerson Group, delve into the challenges and opportunities of integrating MLOps in traditional enterprises. They discuss strategies to overcome technical debt in implementation, the pivotal role of data i…
In this episode of MLOps Weekly, host Simba Khadder engages with Eero Laaksonen, CEO of Valohai, to explore the intricacies of end-to-end MLOps platforms. They discuss the challenges and solutions in machine learning operations, delving into topics like proprietary vs. open-source tools, operationa…
On Week 19 of the MLOps Weekly Podcast, Simba sits down with Modelbit Co-founder and CEO, Harry Glaser, to discuss the evolving landscape of data science roles, the friction between different data teams, and the importance of prioritizing organizational and workflow problems when building MLOps too…
Aviso: O podcast e a arte incorporada nesta página são de Simba Khadder, que é propriedade de seu proprietário e não é afiliado ou endossado por Listen Notes, Inc.
EDITAR
Obrigado por ajudar a manter a base de dados dos podcasts atualizada.
