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Raza Habib

Published podcast speaker

Claims
27
Episodes
2
Shows
1
Named items
0

Claim ledger

What Raza said.

27 transcript-backed records

03 / belief

I think we have PMF within niches. So I think we definitely have, like especially for, I would say, like, if you're a team building an LM application within a larger company, then, like, yes, we see people sign up.

“I think we have PMF within niches. So I think we definitely have, like especially for, I would say, like, if you're a team building an LM application within a larger company, then, like, yes, we see people sign up.”
Speaker
Raza Habib
Publisher
Latent Space

04 / belief

Every time you make a change, how do you know you're not making it worse on the things that are already there? And so I think we always had a really good version of the monitoring user feedback version.

“Every time you make a change, how do you know you're not making it worse on the things that are already there? And so I think we always had a really good version of the monitoring user feedback version.”
Speaker
Raza Habib
Publisher
Latent Space

05 / belief

I think there's actually some like Obvious kind of elephant in the room, unsolved problems that for some reason don't seem to get the amount of airtime that they kind of obviously should.

“I think there's actually some like Obvious kind of elephant in the room, unsolved problems that for some reason don't seem to get the amount of airtime that they kind of obviously should.”
Speaker
Raza Habib
Publisher
Latent Space

07 / belief

How might we be able to compose LLMs in ways to write more complex programs? And I think that LLM Cascades paper was one of the first attempts to think about that in first principles.

“How might we be able to compose LLMs in ways to write more complex programs? And I think that LLM Cascades paper was one of the first attempts to think about that in first principles.”
Speaker
Raza Habib
Publisher
Latent Space

08 / belief

If you're within YC, this will be boring, but if you're outside of YC, I think that you probably can't hear this enough times, because I've seen so many people get this wrong.

“If you're within YC, this will be boring, but if you're outside of YC, I think that you probably can't hear this enough times, because I've seen so many people get this wrong.”
Speaker
Raza Habib
Publisher
Latent Space

10 / belief

You saw just now outside a space for a hub for all their startups and other companies in the ecosystem to come work from their offices. And they provide these podcasting studios and all sorts of really useful resources that I think is helping grow the community in Europe.

“You saw just now outside a space for a hub for all their startups and other companies in the ecosystem to come work from their offices. And they provide these podcasting studios and all sorts of really useful resources that I think is helping grow the community in Europe.”
Speaker
Raza Habib
Publisher
Latent Space

11 / belief

As in, we've always tried to keep close partnerships with all of the large language model providers, right? It's very clear that Andresen, GP, semaphores, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, Make it easier for their customers to succeed benefits them, and then we also get to learn from them about what problems people are facing, what they're planning to do in the future, so I think that all of the large language model providers are investing a lot in developer ecosystem, and not just being close to HumanLoop, but to anyone else who's making it easier for their customers.

“As in, we've always tried to keep close partnerships with all of the large language model providers, right? It's very clear that Andresen, GP, semaphores, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, sharding, Make it easier for their customers to succeed benefits them, and then we also get to learn from them about what problems people are facing, what they're planning to do in the future, so I think that all of the large language model providers are investing a lot in developer ecosystem, and not just being close to HumanLoop, but to anyone else who's making it easier for their customers.”
Speaker
Raza Habib
Publisher
Latent Space

14 / belief

Every time we have a product roadmap discussion, like, Planning forward, starting to iterate on and when to build in support for Vision has become very much front of mind. So I think, like, now.

“Every time we have a product roadmap discussion, like, Planning forward, starting to iterate on and when to build in support for Vision has become very much front of mind. So I think, like, now.”
Speaker
Raza Habib
Publisher
Latent Space

15 / belief

Like, we need to be able to render and read in images in the playground environment that's interactive, right? So there's a bunch of just, kind of, follow your nose things that I think we'd have to figure out.

“Like, we need to be able to render and read in images in the playground environment that's interactive, right? So there's a bunch of just, kind of, follow your nose things that I think we'd have to figure out.”
Speaker
Raza Habib
Publisher
Latent Space

17 / belief

If you're coming from a pure software, non ML background, then the first thing you have to learn when you start working with LLMs is this stuff is stochastic which I think, you know, most people are not used to.

“If you're coming from a pure software, non ML background, then the first thing you have to learn when you start working with LLMs is this stuff is stochastic which I think, you know, most people are not used to.”
Speaker
Raza Habib
Publisher
Latent Space

19 / prediction

This is the worst they're ever going to be. So if this is what's possible today, you know, I think the hardest challenge actually is to take seriously the fact that in the not too distant future, you will have models even more capable than the ones we have now.

“This is the worst they're ever going to be. So if this is what's possible today, you know, I think the hardest challenge actually is to take seriously the fact that in the not too distant future, you will have models even more capable than the ones we have now.”
Speaker
Raza Habib
Publisher
Latent Space

20 / evaluation

What I would say is that I think that Europe is being amazing on research and continues to be like a fantastic place for researchers, but has been less good in my experience on productizing and trying to productize AI. And so the difference that I feel being here versus being in the U S I think a good example of this is just the number of, like, if I go to San Francisco, the density of people who are trying to build useful things with large language models or with AI and butting their head up against it and discovering what works and what doesn't work and trying great ideas or trying stupid ideas and just learning together, is much richer than what we have here.

“What I would say is that I think that Europe is being amazing on research and continues to be like a fantastic place for researchers, but has been less good in my experience on productizing and trying to productize AI. And so the difference that I feel being here versus being in the U S I think a good example of this is just the number of, like, if I go to San Francisco, the density of people who are trying to build useful things with large language models or with AI and butting their head up against it and discovering what works and what doesn't work and trying great ideas or trying stupid ideas and just learning together, is much richer than what we have here.”
Speaker
Raza Habib
Publisher
Latent Space

21 / evaluation

Or they come and use something like us. And I think increasingly, because we've been working on this for now more than a year the difference between something you would build yourself and, and sort of a bot solution is now quite enormous.

“Or they come and use something like us. And I think increasingly, because we've been working on this for now more than a year the difference between something you would build yourself and, and sort of a bot solution is now quite enormous.”
Speaker
Raza Habib
Publisher
Latent Space

22 / evaluation

Whether they're doing summarization or something similar, but I would say I feel like most use cases blend like that to me feels like an old school N L P way of viewing the world.

“Whether they're doing summarization or something similar, but I would say I feel like most use cases blend like that to me feels like an old school N L P way of viewing the world.”
Speaker
Raza Habib
Publisher
Latent Space

25 / prediction

There's just no shortage of things. And I think a lot of companies in the build versus buy decision, they want to do both because they want to have the capacity internally to be able to build AI features and services as part of their product as well.

“There's just no shortage of things. And I think a lot of companies in the build versus buy decision, they want to do both because they want to have the capacity internally to be able to build AI features and services as part of their product as well.”
Speaker
Raza Habib
Publisher
Latent Space

26 / evaluation

Because they're trying to get to a good outcome as quickly as possible. So we found, we found a much better reception amongst that audience and also that we could add a lot more value to them because we could bake in best practices and knowledge we had, and that would make their lives much easier.

“Because they're trying to get to a good outcome as quickly as possible. So we found, we found a much better reception amongst that audience and also that we could add a lot more value to them because we could bake in best practices and knowledge we had, and that would make their lives much easier.”
Speaker
Raza Habib
Publisher
Latent Space

27 / observation

They're all choosing it for content creation. And each of these companies sort of, you start with one use case and I feel like it expands because you just discover more and more things you can do the model with, do with the models.

“They're all choosing it for content creation. And each of these companies sort of, you start with one use case and I feel like it expands because you just discover more and more things you can do the model with, do with the models.”
Speaker
Raza Habib
Publisher
Latent Space
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