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Mastering Growth in the AI Era: How to Stand Out, Acquire Customers, and Raise VC Dollars with B Capital, Zetta, and Glasswing

SaaStr

Software engineering teams have been early adopters of AI coding assistants precisely because they provide an immediate, measurable lift. Large enterprises have an immediate need for governance solutions to handle AI at scale. This is exactly backward.

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Top 10 Trends for Data in 2024

Tom Tunguz

LLMs Transform the Stack : Large language models transform data in many ways. If you’re curious about the evolution of the LLM stack or the requirements to build a product with LLMs, please see Theory’s series on the topic here called From Model to Machine.

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Which AI Model Should You Pick for Your Startup?

Tom Tunguz

A product manager today faces a key architectural question with AI : to use a small language model or a large language model? the company would prefer to rely on external experts to drive innovation within the models. the company would prefer to rely on external experts to drive innovation within the models.

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How Enterprise Companies are Buying AI (or Not) with ContextualAI, Anthropic, Glean, and Unusual Ventures

SaaStr

Some of the biggest use cases for AI in the enterprise are across customer support, sales and marketing, and engineering — ie helping developers test code and troubleshoot issues. Salespeople, marketing, HR, and engineering all want the tech, so the CIO has become the focal point to bring a product in.

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How Generative AI Will Turn Traditional SaaS Models On Their Head with AWS VP of Generative Builders Adam Seligman

SaaStr

Adam came up with the wildest idea he could think of for an app and used Anthropc, a large language model company, to help develop the idea. Could you write down the core features, data model, and primary functionality the app should have? Foundation models will do that. Your SDRs, what do they do?

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How to Solve Unsolvable Problems with Generative AI for Startups with Google Cloud

SaaStr

Do you want to build your own LLM and build it in-house? You can iterate much quicker if you allow people within the entire organization to prototype, not just the engineering team. The beauty of startups is you’re agile, and with LLMs, it’s language-driven. Ask yourself: Do you want control over the technology?

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The Impact of Generative AI on Software With Theory Ventures Founder & General Partner Tomasz Tunguz (Pod 650 + Video)

SaaStr

Why AI Matters to VCs Over the last decade, each type of machine learning has developed and grown, with generative AI becoming the most recent. Goldman Sachs predicts that the contribution of machine learning to GDP would fall somewhere between 1.5 – 2.9%. Bespoke Model: Build your own generative AI model.