Jesse Liu

Thank you, Nina. Glad to be here.

Thank you, Nina. Glad to be here.

Thank you, Nina. Glad to be here.

Here's a little bit of history of it. So I actually started an AI company back in 2013, which is called RavenTech. We were at YC Winter 15 batch. And it's basically my personal dream to chase this grand vision that, you know, I guess... me being this generation grew up, we watched so many sci-fi movies, you know, there's AI stuff here and there.

Here's a little bit of history of it. So I actually started an AI company back in 2013, which is called RavenTech. We were at YC Winter 15 batch. And it's basically my personal dream to chase this grand vision that, you know, I guess... me being this generation grew up, we watched so many sci-fi movies, you know, there's AI stuff here and there.

Here's a little bit of history of it. So I actually started an AI company back in 2013, which is called RavenTech. We were at YC Winter 15 batch. And it's basically my personal dream to chase this grand vision that, you know, I guess... me being this generation grew up, we watched so many sci-fi movies, you know, there's AI stuff here and there.

And I guess every geek wants to build their own Jarvis at some point, right? So that's exactly how I started the Raven tech 11, 12 years ago. Back then, you know, we had this idea, we had this direction, but the technology back then, obviously there wasn't like GPU training, there wasn't transformer and stuff. So we worked really hard on the early days of like voice dictation and NLP and NLU and

And I guess every geek wants to build their own Jarvis at some point, right? So that's exactly how I started the Raven tech 11, 12 years ago. Back then, you know, we had this idea, we had this direction, but the technology back then, obviously there wasn't like GPU training, there wasn't transformer and stuff. So we worked really hard on the early days of like voice dictation and NLP and NLU and

And I guess every geek wants to build their own Jarvis at some point, right? So that's exactly how I started the Raven tech 11, 12 years ago. Back then, you know, we had this idea, we had this direction, but the technology back then, obviously there wasn't like GPU training, there wasn't transformer and stuff. So we worked really hard on the early days of like voice dictation and NLP and NLU and

which is natural language processing and natural language understanding. So the technology weren't there. We tried our best. We actually built an entire cloud system and the hardware, which is similar to what we have in Rabbit today. But the phone factor was like more of a smart speaker, as if we all know back in 10 years ago, everyone's chasing that phone factor.

which is natural language processing and natural language understanding. So the technology weren't there. We tried our best. We actually built an entire cloud system and the hardware, which is similar to what we have in Rabbit today. But the phone factor was like more of a smart speaker, as if we all know back in 10 years ago, everyone's chasing that phone factor.

which is natural language processing and natural language understanding. So the technology weren't there. We tried our best. We actually built an entire cloud system and the hardware, which is similar to what we have in Rabbit today. But the phone factor was like more of a smart speaker, as if we all know back in 10 years ago, everyone's chasing that phone factor.

And ultimately, the company got acquired. It's not a new idea for myself, but it's definitely a new opportunity that when I saw the progress on the research side of Transformer, obviously I got a chance to try like chat GPT or GPT's API very early time. We were really impressed because, you know, we felt the timing is right because being able to do something like R1 or GPT,

And ultimately, the company got acquired. It's not a new idea for myself, but it's definitely a new opportunity that when I saw the progress on the research side of Transformer, obviously I got a chance to try like chat GPT or GPT's API very early time. We were really impressed because, you know, we felt the timing is right because being able to do something like R1 or GPT,

And ultimately, the company got acquired. It's not a new idea for myself, but it's definitely a new opportunity that when I saw the progress on the research side of Transformer, obviously I got a chance to try like chat GPT or GPT's API very early time. We were really impressed because, you know, we felt the timing is right because being able to do something like R1 or GPT,

you know, more sci-fi Java stuff, you really need to figure out two parts from the backend. One is that you want to make sure that by talking to the device, the computer or device actually understand what you're talking about, right? Which is the transformer, the large language model part. But

you know, more sci-fi Java stuff, you really need to figure out two parts from the backend. One is that you want to make sure that by talking to the device, the computer or device actually understand what you're talking about, right? Which is the transformer, the large language model part. But

you know, more sci-fi Java stuff, you really need to figure out two parts from the backend. One is that you want to make sure that by talking to the device, the computer or device actually understand what you're talking about, right? Which is the transformer, the large language model part. But

We believe around 2020, 2021, we believe that the transformer is absolutely the right path that OpenAI and other companies are heading to. We believe that portion has been solved, will be solved. So our focus immediately shift to, after this device can understand you, can it actually help you do things?

We believe around 2020, 2021, we believe that the transformer is absolutely the right path that OpenAI and other companies are heading to. We believe that portion has been solved, will be solved. So our focus immediately shift to, after this device can understand you, can it actually help you do things?