The AI API : The Twilio Moment for Machine Learning
Tomasz TunguzVenture Capitalist If you were forwarded this newsletter, and you'd like to receive it in the future, subscribe here. The AI API : The Twilio Moment for Machine Learning
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. These figures highlight three points:
The last one is the most striking. Training, deploying, & optimizing machine learning models has historically required teams of dedicated researchers, production engineers, data collection & labeling teams. Even fully staffed, teams required years to develop models with reasonably accurate performance. Today, it’s a matter of days or weeks. Newer LLMs (large-language models) simplify AI-feature development in the same way Twilio empowered developers to send an SMS with five-lines of code, abstracting the complexities of carrier-integration. Stripe did the same, simplifying credit card payments. Building a chatbot for some collection of customer support articles or blog posts is straightforward :
The time to utility is measured in minutes. Every company will be an AI company, because the technology is simple-enough to deploy & powerful-enough to work sufficiently well out-of-the-box that most companies can get started today. |
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