Ray Fernando
👤 PersonAppearances Over Time
Podcast Appearances
And that actually involves using this thing called Open Web UI. So I can show you that. So while this is thinking, if it even returns the results or does anything here, we're going to go ahead and pop on over to the other side. So on the other side, we're going to go to here. And so I have an instance of what's called open web UI, and it looks very similar to like a chat GPT.
And that actually involves using this thing called Open Web UI. So I can show you that. So while this is thinking, if it even returns the results or does anything here, we're going to go ahead and pop on over to the other side. So on the other side, we're going to go to here. And so I have an instance of what's called open web UI, and it looks very similar to like a chat GPT.
And that actually involves using this thing called Open Web UI. So I can show you that. So while this is thinking, if it even returns the results or does anything here, we're going to go ahead and pop on over to the other side. So on the other side, we're going to go to here. And so I have an instance of what's called open web UI, and it looks very similar to like a chat GPT.
And to get this set up, I'll probably go through a little bit more details, but I'll just go ahead and show you what this looks like. So in here, I have the model selected. I can go to deep seek. And so what's great is that you can connect to an API provider And I'm using Fireworks AI. So Fireworks AI here is currently hosting DeepSeq model.
And to get this set up, I'll probably go through a little bit more details, but I'll just go ahead and show you what this looks like. So in here, I have the model selected. I can go to deep seek. And so what's great is that you can connect to an API provider And I'm using Fireworks AI. So Fireworks AI here is currently hosting DeepSeq model.
And to get this set up, I'll probably go through a little bit more details, but I'll just go ahead and show you what this looks like. So in here, I have the model selected. I can go to deep seek. And so what's great is that you can connect to an API provider And I'm using Fireworks AI. So Fireworks AI here is currently hosting DeepSeq model.
And they allow you to use the model just by, you know, using getting an API key and then putting in the exact model string and so forth here. And so from here, if I go to the open web UI, I'm able to select them and say, OK, this is my DeepSeq account. I'm going to go ahead and just paste the exact prompt that we had, paste it in with my transcript and everything here.
And they allow you to use the model just by, you know, using getting an API key and then putting in the exact model string and so forth here. And so from here, if I go to the open web UI, I'm able to select them and say, OK, this is my DeepSeq account. I'm going to go ahead and just paste the exact prompt that we had, paste it in with my transcript and everything here.
And they allow you to use the model just by, you know, using getting an API key and then putting in the exact model string and so forth here. And so from here, if I go to the open web UI, I'm able to select them and say, OK, this is my DeepSeq account. I'm going to go ahead and just paste the exact prompt that we had, paste it in with my transcript and everything here.
And I should be able to get everything out. So let me just double check here that I got everything. So it's still timing out here. Yeah, server is busy. Try again later. So yeah, that's not fun. So what I'm going to go ahead and do is scroll to the top and hit this little copy button and then go over here. Just make sure I put everything in there. I have the whole transcript.
And I should be able to get everything out. So let me just double check here that I got everything. So it's still timing out here. Yeah, server is busy. Try again later. So yeah, that's not fun. So what I'm going to go ahead and do is scroll to the top and hit this little copy button and then go over here. Just make sure I put everything in there. I have the whole transcript.
And I should be able to get everything out. So let me just double check here that I got everything. So it's still timing out here. Yeah, server is busy. Try again later. So yeah, that's not fun. So what I'm going to go ahead and do is scroll to the top and hit this little copy button and then go over here. Just make sure I put everything in there. I have the whole transcript.
Yeah, so the whole transcript here. And so what's going to happen here is when I hit send, it's going to send this off to Fireworks AI. And what's great about this thing that's actually running in this open web UI is that it's using the API and it's not actually sending the data to China.
Yeah, so the whole transcript here. And so what's going to happen here is when I hit send, it's going to send this off to Fireworks AI. And what's great about this thing that's actually running in this open web UI is that it's using the API and it's not actually sending the data to China.
Yeah, so the whole transcript here. And so what's going to happen here is when I hit send, it's going to send this off to Fireworks AI. And what's great about this thing that's actually running in this open web UI is that it's using the API and it's not actually sending the data to China.
So just for as it's doing its thinking here and showing us what's going on, I'm going to go back to overlay this model of our data in our container and kind of show you what this is looking like in the background. So here in TLDraw, we actually have our Mac and PC. And so I used web UI here and I'm actually using the Fireworks API.
So just for as it's doing its thinking here and showing us what's going on, I'm going to go back to overlay this model of our data in our container and kind of show you what this is looking like in the background. So here in TLDraw, we actually have our Mac and PC. And so I used web UI here and I'm actually using the Fireworks API.
So just for as it's doing its thinking here and showing us what's going on, I'm going to go back to overlay this model of our data in our container and kind of show you what this is looking like in the background. So here in TLDraw, we actually have our Mac and PC. And so I used web UI here and I'm actually using the Fireworks API.
So I'm going to the cloud and this cloud is located in North America. So the data basically resides here in North America and it's going to be delivered back to my device. So that's what we're doing. When we were on the DeepSeq website, we were going out to the China region. So that's just a heads up of kind of how that's working in the background.
So I'm going to the cloud and this cloud is located in North America. So the data basically resides here in North America and it's going to be delivered back to my device. So that's what we're doing. When we were on the DeepSeq website, we were going out to the China region. So that's just a heads up of kind of how that's working in the background.