Saved by Mo Shafieeha
Self-Serve Apps for ML Teams | Greylock
My AI investment thesis is that every AI application startup is likely to be crushed by rapid expansion of the foundational model providers.
App functionality will be added to the foundational models' offerings, because the big players aren't slow incumbents (it is wrong to apply the analogy of "fast startup, slow... See more
Yishanx.comIf you made a thousand versions of an LLM, that’s good at a thousand different things, and you have to load each of those into the GPUs and serve them, it becomes very expensive. The big holy grail right now that everybody’s looking for is: are there techniques, where you can just do small modifications where you can get really good results? There... See more
Sarah Wang • What Builders Talk About When They Talk About AI | Andreessen Horowitz
DeepSeek’s distillation techniques let R1’s capabilities trickle down into smaller, more budget-friendly versions of the model. You can even run a distilled variant locally on your MacBook Pro with just one line of code.