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The 4 Questions Startups Should Ask Themselves about Building with Generative AI

Tom Tunguz

There are 4 questions a startup should ask themselves about building a startup that uses generative AI. I started with a few sentences, uploaded them to gamma.app to outline the presentation, popped over to Midjourney to generate images along the story line, & published it in IA Presenter.

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Clouded Judgement 7.28.23 - Optimization Cycles and Economy Update

Clouded Judgement

AI = Data + Compute I’ll continue beating this drum, but we got two great quotes from Azure and AWS this week. Satya at Microsoft said “Every AI app starts with data and having a comprehensive data and analytics platform is more important than ever.” ” Data is more important than ever!

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AI Food Fights in the Enterprise

Andreessen Horowitz

[03:08] Data wars [04:28] Big vs. small LLMs [08:13] Fine-tuning [13:52] Open source AI [17:51] Benchmarks are b t [19:30] Why Ali isn’t afraid of AI Why is it so hard for enterprise to adopt AI? Ben: Going to generative AI, 1 of the things that’s been interesting for us as a VC, is we see all kinds of companies.

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Tabular: Turning Your Data Swamp into a Data Lakehouse with Apache Iceberg

Clouded Judgement

The rise of foundation models and generative AI only furthers this trend. Typical data lake storage solutions include AWS S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS) or Hadoop Distributed File System (HDFS). Data Lakes have been a staple for a long time, storing both structured and unstructured data.

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