Aravind Srinivas

Perplexity is best described as an answer engine. So you ask it a question, you get an answer. except the difference is all the answers are backed by sources. This is like how an academic writes a paper. Now, that referencing part, the sourcing part, is where the search engine part comes in. So you combine traditional search, extract results relevant to the query the user asked,

Perplexity is best described as an answer engine. So you ask it a question, you get an answer. except the difference is all the answers are backed by sources. This is like how an academic writes a paper. Now, that referencing part, the sourcing part, is where the search engine part comes in. So you combine traditional search, extract results relevant to the query the user asked,

Perplexity is best described as an answer engine. So you ask it a question, you get an answer. except the difference is all the answers are backed by sources. This is like how an academic writes a paper. Now, that referencing part, the sourcing part, is where the search engine part comes in. So you combine traditional search, extract results relevant to the query the user asked,

You read those links, extract the relevant paragraphs, feed it into an LLM. LLM means large language model. And that LLM takes the relevant paragraphs, looks at the query, and comes up with a well formatted answer with appropriate footnotes to every sentence it says. because it's been instructed to do so.

You read those links, extract the relevant paragraphs, feed it into an LLM. LLM means large language model. And that LLM takes the relevant paragraphs, looks at the query, and comes up with a well formatted answer with appropriate footnotes to every sentence it says. because it's been instructed to do so.

You read those links, extract the relevant paragraphs, feed it into an LLM. LLM means large language model. And that LLM takes the relevant paragraphs, looks at the query, and comes up with a well formatted answer with appropriate footnotes to every sentence it says. because it's been instructed to do so.

It's been instructed that one particular instruction of given a bunch of links and paragraphs, write a concise answer for the user with the appropriate citation. So the magic is all of this working together in one single orchestrated product. And that's what we built Perplexity for.

It's been instructed that one particular instruction of given a bunch of links and paragraphs, write a concise answer for the user with the appropriate citation. So the magic is all of this working together in one single orchestrated product. And that's what we built Perplexity for.

It's been instructed that one particular instruction of given a bunch of links and paragraphs, write a concise answer for the user with the appropriate citation. So the magic is all of this working together in one single orchestrated product. And that's what we built Perplexity for.

Correct. When I wrote my first paper, the senior people who were working with me on the paper told me this one profound thing. which is that every sentence you write in a paper should be backed with a citation, with a citation from another peer reviewed paper or an experimental result in your own paper. Anything else that you say in the paper is more like an opinion.

Correct. When I wrote my first paper, the senior people who were working with me on the paper told me this one profound thing. which is that every sentence you write in a paper should be backed with a citation, with a citation from another peer reviewed paper or an experimental result in your own paper. Anything else that you say in the paper is more like an opinion.

Correct. When I wrote my first paper, the senior people who were working with me on the paper told me this one profound thing. which is that every sentence you write in a paper should be backed with a citation, with a citation from another peer reviewed paper or an experimental result in your own paper. Anything else that you say in the paper is more like an opinion.

It's a very simple statement, but pretty profound in how much it forces you to say things that are only right. And we took this principle and asked ourselves, what is the best way to make chatbots accurate? Is force it to only say things that it can find on internet, right? And find from multiple sources. This kind of came out of a need rather than, oh, let's try this idea.

It's a very simple statement, but pretty profound in how much it forces you to say things that are only right. And we took this principle and asked ourselves, what is the best way to make chatbots accurate? Is force it to only say things that it can find on internet, right? And find from multiple sources. This kind of came out of a need rather than, oh, let's try this idea.

It's a very simple statement, but pretty profound in how much it forces you to say things that are only right. And we took this principle and asked ourselves, what is the best way to make chatbots accurate? Is force it to only say things that it can find on internet, right? And find from multiple sources. This kind of came out of a need rather than, oh, let's try this idea.

When we started the startup, there were like so many questions all of us had because we were complete noobs, never built a product before, never built like a startup before. Of course we had worked on like a lot of cool engineering and research problems, but doing something from scratch is the ultimate test. And there were like lots of questions.

When we started the startup, there were like so many questions all of us had because we were complete noobs, never built a product before, never built like a startup before. Of course we had worked on like a lot of cool engineering and research problems, but doing something from scratch is the ultimate test. And there were like lots of questions.

When we started the startup, there were like so many questions all of us had because we were complete noobs, never built a product before, never built like a startup before. Of course we had worked on like a lot of cool engineering and research problems, but doing something from scratch is the ultimate test. And there were like lots of questions.

You know, what is the health insurance, like the first employee we hired, he came and asked us for health insurance. Normal need. I didn't care. I was like, why do I need a health insurance if this company dies? Like, who cares? My other two co-founders had, were married, so they had health insurance to their spouses. But this guy was like looking for health insurance.

You know, what is the health insurance, like the first employee we hired, he came and asked us for health insurance. Normal need. I didn't care. I was like, why do I need a health insurance if this company dies? Like, who cares? My other two co-founders had, were married, so they had health insurance to their spouses. But this guy was like looking for health insurance.