Saved by Mo Shafieeha
Self-Serve Apps for ML Teams | Greylock
A New Cohort of Agentic Applications
With Generative AI’s budding reasoning capabilities, a new class of agentic applications is starting to emerge.
What shape do these application layer companies take? Interestingly, these companies look different than their cloud predecessors:
With Generative AI’s budding reasoning capabilities, a new class of agentic applications is starting to emerge.
What shape do these application layer companies take? Interestingly, these companies look different than their cloud predecessors:
- Cloud companies targeted the software profit pool. AI companies target
Sonya Huang • Generative AI’s Act O1
Here's my read on the situation:
* The TAM is massive, still so many businesses trying to figure out AI
* If you do deployments you’ll need to spend a of time hand holding clients through scoping projects (not unlike other dev works) since the material is so new
* Lot’s of opportunity in education
* The hard part isn’t the expertise, it’s distribution ... See more
* The TAM is massive, still so many businesses trying to figure out AI
* If you do deployments you’ll need to spend a of time hand holding clients through scoping projects (not unlike other dev works) since the material is so new
* Lot’s of opportunity in education
* The hard part isn’t the expertise, it’s distribution ... See more
Greg Kamradt • Tweet
We are more excited by startups that go vertical. We think ML techniques are built to go vertical. The model needs to recognise a very specific set of signal data in a massive, noisy dataset. To get accuracy, you need the same type of data that is relevant to the problem you are trying to solve.
Matilde Giglio • What we look for in AI companies (and why they are different)
Our Investment in StackBlitz