This show is your guidebook to building scalable and maintainable AI systems. You will learn how to
SummaryIn this episode we're joined by Matt Zeiler, founder and CEO of Clarifai, as he dives into th
SummaryArtificial intelligence has dominated the headlines for several months due to the successes o
SummaryGenerative AI promises to accelerate the productivity of human collaborators. Currently the p
SummaryLarge Language Models (LLMs) have rapidly captured the attention of the world with their impr
SummaryMachine learning is a powerful set of technologies, holding the potential to dramatically tra
SummaryOne of the most time consuming aspects of building a machine learning model is feature engine
SummaryEvery business develops their own specific workflows to address their internal organizational
SummaryMachine learning and AI applications hold the promise of drastically impacting every aspect o
SummaryBuilding machine learning systems and other intelligent applications are a complex undertakin
SummaryMachine learning and generative AI systems have produced truly impressive capabilities. Unfor
SummarySoftware development involves an interesting balance of creativity and repetition of patterns
SummarySoftware systems power much of the modern world. For applications that impact the safety and
SummaryLarge language models have gained a substantial amount of attention in the area of AI and mac
SummaryArtificial Intelligence is experiencing a renaissance in the wake of breakthrough natural lan
SummaryA core challenge of machine learning systems is getting access to quality data. This often me
SummarySatellite imagery has given us a new perspective on our world, but it is limited by the field
SummaryThe focus of machine learning projects has long been the model that is built in the process.
SummaryMachine learning models have predominantly been built and updated in a batch modality. While
SummaryShopify uses machine learning to power multiple features in their platform. In order to reduc
SummaryAll data systems are subject to the "garbage in, garbage out" problem. For machine learning a
