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The AI API : The Twilio Moment for Machine Learning

Tom Tunguz

90% of startups have plans or have released an AI feature, 54% of those features will launch in 2023, but only 30% of companies are hiring new people to do it, according to ProductBoard’s survey. Even fully staffed, teams required years to develop models with reasonably accurate performance.

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Which Increases Productivity More : The Advent of Personal Computer or a Large-Language Model?

Tom Tunguz

” That’s the conclusion from OpenAI’s recent paper “ GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models. ” How much might US GDP grow assuming large-language models enable US workers to do more? The BEA estimates US GDP is $26.2t.

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5 Interesting Learnings from Palantir at $2.7 Billion in ARR

SaaStr

Growth Has Re-Accelerated Fueled by commercial and government contracts, and by AI-related demand in both, Palantir is seeing growth re-accelerate from 2023. Artificial Intelligence Platform (AIP) is a Year Old But Fueling $159m in Q2 Bookings Alone To some Cloud and SaaS leaders, AI is a table-stakes addition.

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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

What VCs Are Funding in AI Today The AI funding landscape has evolved rapidly in 2023-2024. If 2023 was the “year of the demo,” 2024 should be the “year of production” – but most companies are still struggling to deploy AI successfully. This creates both challenges and opportunities for founders.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

December 6th, 2023 at 11:00am PST, 2:00pm EST, 7:pm GMT Register today to save your seat!

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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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4 Key Takeaways from the AI Panel at Saastr 2023

Tom Tunguz

Last week at Saastr 2023, I had the privilege of hosting a panel with Maggie Hott , GTM leader at OpenAI, Sharon Zhou , cofounder & CEO of Lamini, & Jordan Tigani , founder & CEO of MotherDuck talking about the implications of AI for the software industry broadly. Four themes resonated throughout the session.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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Building User-Centric and Responsible Generative AI Products

Speaker: Shyvee Shi - Product Lead and Learning Instructor at LinkedIn

In the rapidly evolving landscape of artificial intelligence, Generative AI products stand at the cutting edge. These products, with their unique capabilities, bring fresh opportunities and challenges that demand a fresh approach to product management.