thierrypdamiba/class1 · Datasets at Hugging Face

speaker stringclasses 23 values	time stringlengths 8 8	text stringlengths 2 677
Hamza Farooq	00:00:17	Awesome. Hey, everyone! Can you all hear me and see me? And Loki also see Loki? no. His name is Loki LO. Ki. Okay.
Hamza Farooq	00:00:29	everyone, those who don't know me. My name is Hamza. I have been an instructor for a few years, and I'll I'll give you more details about me as as we go through the class.
Hamza Farooq	00:00:43	I wanna first welcome you all for coming to the session. Thank you for signing up. There's some of you who have taken a course with me before. There's some who are new on. So I think what I'm gonna do is just wanna get a feel of the folks who are joining, so just use your thumbs up
Hamza Farooq	00:00:59	to just mention if you haven't. If you have never met before.
Hamza Farooq	00:01:03	just use that em Emoji thumbs up emoji that really helps.
Hamza Farooq	00:01:09	And
Hamza Farooq	00:01:11	I'm just gonna say, this is gonna be a very interesting course it took us a while to put this together.
Hamza Farooq	00:01:17	and there's a whole team behind it who sort of. We worked
Hamza Farooq	00:01:22	quite some time getting this course up and running
Hamza Farooq	00:01:26	and there, there's some part of it which are still experimental. So we'll learn from this experience, and we'll we'll we'll push it, or to grow into other parts.
Hamza Farooq	00:01:37	Alright without further ado I should go ahead, share my screen.
Hamza Farooq	00:01:43	Excuse me, can you all see my screen? It's amazing. Alright! Let me expand it over here. Alright!
Hamza Farooq	00:01:54	Alright. So if the first module, that we're gonna work on is gonna discuss enterprise rag, and we will be working on something called, which is which we have created from scratch. It's called semantic cash.
Hamza Farooq	00:02:06	Now, all the stuff that we'll do is not something that we are just teaching you this. This is a part of the company that I run, and we have built products for them, for for the company which I'm making them available through the courses.
Hamza Farooq	00:02:22	So anything and everything that you see that is custom built.
Hamza Farooq	00:02:27	It's pretty much something that we have in implemented ourselves, and we are going to use it in. We use it in our, in our work, and we would love for you to learn about it, and sort of apply that in the in your use cases.
Hamza Farooq	00:02:40	So just a brief video about me. My name is Humza. I run a company which is called traversal.ai. I've been running it for the past 6, 7 months before that I was at Google, and before Google, I was at Walmart labs. It's about 10 years of my life A few years before that I was in management consulting. I don't know what I was doing, but I was doing something.
Hamza Farooq	00:03:01	And I am also an adjunct professor at Stanford and Ucla, and over there also it similar courses. I have another course. Excuse me.
Hamza Farooq	00:03:13	I have another course that I run on foundational Llms. Some of you. I think there are quite a few of you here who have taken that course. And you know I'm happy to that. You are. You're coming from that course onto this advanced version this advanced course was
Hamza Farooq	00:03:31	pushed for. I was pushed to put this together by a couple of folks. There's a log. And Zenup, who basically were like, we need to make this course. They previously took my co-course with me, and it's like we need to go to the next level. That's where we started putting together this course a month ago.
Hamza Farooq	00:03:50	and it will. We're gonna cover a lot of things.
Hamza Farooq	00:03:54	I wanna I want you to meet the team. I don't know how many of them have signed up are shown up. But we have. I've been working with Najila the first person I don't know if I see her on the call Najilia. Are you on the call?
Hamza Farooq	00:04:09	She's not. It's okay. So she basically she she helps has helped me put together the course other than that. There's 3 other people who who have been working with but do do you want to introduce yourself?
Batool Haider	00:04:27	Hello! Can you hear me? Yes, we can hear you.
Batool Haider	00:04:30	Oh, hello, everybody! This is batul heather. I work as the head of AI for Travis. So before traviso. I served as an applied scientist for Amazon AI. For about 5 years and prior to that was working in a bunch of different companies. And I started all of this at Stanford. As a grad student as well as a research assistant. So glad to see all of you here
Hamza Farooq	00:04:55	awesome, and you'll be seeing a lot of things that you know, batu will be involved in a lot of part parts of this course. She is. Gonna be publishing a lot about other things. Research projects also. So it'd be great to, you know. Reach out to her, connect with her.
Hamza Farooq	00:05:11	You'll you'll learn a lot from her. We have Kamal on our team. Kamal, recently joined our team. Kamal, you wanna introduce yourself? kanwalmehreen 00:05:21 Yeah, sure. So my name is Kabil and I recently joined Traversal as developer advocate. Ml. And so I also work as a technical content writer at Katyina gets for over 1.5 years nice to meet you all, and I hope that yeah, this go
Hamza Farooq	00:05:42	awesome. We have also Dashl over here, Dashiell. It will be joining a little later, and he'll be leading one of the sessions, so he will join the team. So
Hamza Farooq	00:05:53	it took almost 5 of us, and one month of Tom stop work to put together some of this. So please know, this is a lot of this is experimental. We're learning it as we go, but we will work with you to improve it and we'll try to. You know. Get your feedback and implement more things as we go.
Hamza Farooq	00:06:10	Now, this is the money slide. Ii call this the money side, because this is our major overview of what we intend to cover in this.
Hamza Farooq	00:06:20	So we expect you to know what drag is. We expect you to have worked on drag. We expect you to have an understanding on ve what vector databases are?
Hamza Farooq	00:06:29	And you kind of am implemented in some form or the other, like on a collapse notebook or a Jupiter notebook, or you've taken a course with me or some other company. There's few folks who have taken a course with data since Dojo, also, where I actually also teach.
Hamza Farooq	00:06:45	But
Hamza Farooq	00:06:46	the idea is that you know what drag is. And you're like, okay, I want to take rag to the next level. I want to start thinking about production level stuff.
Hamza Farooq	00:06:54	I want to think about how we connect cloud networks to each other. I want to know, how do we make sure that all the different endpoints are connected to each other in a production manner.
Hamza Farooq	00:07:04	It can be small data.
Hamza Farooq	00:07:06	But you can't run a Jupiter notebook as a product, right? You have to put it into a cloud. So we will be working on that part. So I'm I'm just gonna say that if you haven't worked on rags.
Hamza Farooq	00:07:19	please reach out to me right after this class, and maybe I can move you to the foundational course. I have an understanding that you know Drag, and you have hands on experience of python, or you have a good understanding of how Python works. And you can write code.
Hamza Farooq	00:07:35	because this course is going to push you
Hamza Farooq	00:07:39	in every possible way. This is. This is going to be a difficult course, not because we've made it difficult, but because production is difficult, and we've tried to make it as easy as possible for you to consume it. It's not a math, heavy course. It's not math heavy. It's code heavy. You're gonna write code on your own. And you're gonna build stuff that you that is not available on Youtube. So this is the the version. 2 of you know the real world, which is
Hamza Farooq	00:08:08	most of the things that you will see here. Some form of them are not available on
Hamza Farooq	00:08:13	are not available on Youtube because they only show you do. Jupiter. Notebooks will show you. Gcp, aws, azure. And we've I've sent an email. I will be following up an email also, but different things about that.
Hamza Farooq	00:08:26	So what are we gonna cover in this course, we're gonna start with discussing enterprise rag as a major theme.
Hamza Farooq	00:08:33	The first class we will talk about is semantic caching and how to build it from scratch like you will. We will write code like I've written the code. You will see it, but the code is basically the bare minimum of what you need to do. Semantic caching. And I'll explain you what semantic caching is. But semantic caching is a step beyond the normal version of caching.
Hamza Farooq	00:08:55	So we will be covering that. And then the second part of this today we will integrate something similar with Gcp, so you will spin up your Gcp environment and you will pull data from somewhere, push it to your own big query
Hamza Farooq	00:09:09	and use that data to create a drag application right today in the class on with reddish integration.
Hamza Farooq	00:09:17	So I just want to get let you know. This is I mean, we've done snorkeling, most of us, or some of it done snorkeling in our life. This is scuba diving. so you will be in what, in the deep waters from day one. And this is by design. This course is called advanced. This is for that very reason.
Hamza Farooq	00:09:36	If it tingles you. I really like that because it's me. It makes me feel that you're ready for the for the next in, and I've worked with some of you, so I know you're all ready for that.
Hamza Farooq	00:09:46	So the second, the then we'll talk talk about in the next class. We'll talk about guardrail for Llms, and we'll go into Nemo. Nemo Godre's. We go deeper into how different architectures of Godrell look like one of the versions that that has been created by Nvidia. We'll discuss that.
Hamza Farooq	00:10:06	Then we'll go to model hosting on a local ma, a local machine, for example, a collab notebook with the or something like that, and we'll also look into run ports. So run port. Basically, I know some of you were trying to set up Run, Port Run port. You will have to add money about $15, but it should be enough for you to get started.
Hamza Farooq	00:10:24	and then we will build an inference endpoint. So you basically, right now, like you use open. AI. You will build your own infill's endpoint. because
Hamza Farooq	00:10:35	when you let's say you work in an organization, you work in a Fintech, you work in a healthcare. They do not allow you to use open AI to build applications. You have to use your own local. So we'll teach you how to build your own local infants, which means that
Hamza Farooq	00:10:49	you will have an Api key which is hosting somewhere.
Hamza Farooq	00:10:54	and that, Api you can use to generate your own rack in a different environment. That's the power that we want to push you so. And then we'll sort of try to take a break a week, a week break so that you can cover up on those topics
Hamza Farooq	00:11:08	from there. What we'll do is that we'll look into
Hamza Farooq	00:11:12	advanced retrieval techniques which are just beyond the cosine similarity and basic ones we look into call board. We'll look into sparse vectors. We look into a a, a bunch of things.
Hamza Farooq	00:11:23	Finally, we'll go into fine tuning with Rlhs and Tpo. These are the dpo is the most recent version of fine-tuning. then we'll go into modern merging, which is a new technique again, which has, you know, you will be converging models together to see mixture of mixture of experts or something like that.
Hamza Farooq	00:11:46	Finally, last but not least, we'll teach you how, or we'll try to teach you how to integrate with Node. Js, so you can build your own.
Hamza Farooq	00:11:54	So web site, which has AI in embedded in it. This is, I've put a tool because this is gonna be a more experimental part, because this will go beyond no js, like we. So we'll tell you what to do with no Gs, it's not like, oh, we're gonna just leave you in the middle.
Hamza Farooq	00:12:12	But the idea is, I just do not like the fact that you just use python and show python you. You call it a day. We'll teach you how a software engineering work will come into play. Richard, I'm looking at you right now. I would need your help
Hamza Farooq	00:12:25	in in some of this. For anyone who knows? Richard has helped us in the previous courses. He comes with extremely amazing background and software engineering and he's trusted us with the second time to come in, you know. Be on this course, going to pause here. I know I've taken a lot Eric. Let's start with you.
Eric Brichetto	00:12:43	So when we are talking about the enterprise rag, will we be dedicating any time to online rag online being connected to the web? Or will it be primarily or solely focused on offline rag.
Hamza Farooq	00:12:59	You know, I want to. II wouldn't run a class without talking about online Llm, so in today's class, we'll talk about online Llm, and we'll every single class will talk about online Llms. I don't know how much we can cover on how to build it from scratch, but there is an Api endpoint that we have made, and we would love for you to use that to build your products.
Hamza Farooq	00:13:17	So we'll we will take you to this. So our enterprise rag, all our applications will have an online search and an offline search. When I say offline, it's proprietary data, it's static. The online is that you will search in real time on Internet and find an answer.
Hamza Farooq	00:13:34	And we have built an Api for you for this class. So you can use that for free. So you don't have to pay for it. It's for free. But basically, you will be using that to build applications. And the first class today on semantic caching we will be talking about that.
Hamza Farooq	00:13:52	Good.
Kurt Lozier	00:13:54	Yes, Homs on the fine-tuning. Any chance we'll have an opportunity to touch on
Kurt Lozier	00:14:00	RLAI. F. And the reason why I'm asking has to do with bias and healthcare.
Kurt Lozier	00:14:07	You know some of the
Kurt Lozier	00:14:10	you know, learning with. you know, with human reinforcement.
Kurt Lozier	00:14:16	has shown bias.
Kurt Lozier	00:14:18	particularly because of the age groups and the and the
Kurt Lozier	00:14:23	cultural make ups of the people. And that's a big thing in healthcare right now.
Kurt Lozier	00:14:28	So I'm wondering
Kurt Lozier	00:14:30	on the if if you know
Kurt Lozier	00:14:34	some of what I've read on trying to get rid of that bias using Rl, AI app
Kurt Lozier	00:14:39	can can help there.
Hamza Farooq	00:14:41	I think.
Hamza Farooq	00:14:43	since that class is not made yet, we can definitely do that.
Hamza Farooq	00:14:47	This is this is the great power of about the course that we have, building it it up as we go. So we'll take your feedback and say, Hey, can you add this, or you know, so we'll evaluate that part. So code as you mentioned, and I will sort of look into it again, having a team helps kamal and batul, and all the folks on Dashi on the call. They'd be helping us, you know, build the course so we will work on that
Kurt Lozier	00:15:11	awesome. Thank you.
Hamza Farooq	00:15:12	Thank you. Alright. I think we have. Dashi here, Dasha, do you want to give an intro about yourself? We missed you earlier on. darshil 00:15:19 Yeah, sure, sure. Hey, it's nice to meet you all. I'm Darschil, and I'm currently pursuing masters in computer science from Santa Clara University. I have about 3 to 4 years of experience with artificial intelligence machine learning, computer vision and Lp, and I've been working with thumbs since more than a year now. He was a professor at Santa Clara University for one of the course, and that's where we met about a year ago, and since then we have been working together on different projects. darshil 00:15:49 Nice to meet you.
Hamza Farooq	00:15:51	Awesome. So if there's any problem, your life is falling apart. Just message. Make your life easier. Okay, a few more things to cover, and we'll be on our way. This is the synchronous class. Please keep your video on as much as possible. See I'm I make this joke. This joke is getting old. I need to get a new joke, but we all have bad hair day
Hamza Farooq	00:16:11	and you can see, as you know, I didn't make my hair today. But what I would love to do is have your video on so I can look at you. You can. You can give me your reactions if you read something. If you see something. This is just for us to interact. It helps me. Remember who you are. It helps with this research. That shows if you have your video on, you're able to concentrate better. Si, I'm looking at you for that. But the idea is that have your video on
Hamza Farooq	00:16:40	is is just, I know sometimes you have to turn it off. I understand it's that we all have things to do, but it will be good to interact with you all, and just learn on your experience. And some of you have taken a class with me before. So you know what I'm what I mean, and how how we work
Hamza Farooq	00:16:56	alright. Raise your hand virtually, or drop in a question in in the chat we have. You know we have Dashiell, who will be Dasha and Kamal, who will be, you know, following up on all the questions that you have. So we will basically follow up on the theme of the questions. And sometimes,
Hamza Farooq	00:17:14	sometimes you know, what happens is that I miss a question. Dashl and Kabul will make sure. Sort of you know I will. I will be able to answer answer that.
Hamza Farooq	00:17:23	I know there are a few of almost 30 people. So I wanna make sure that
Hamza Farooq	00:17:27	we don't wanna concentrate all the questions at the same time. So I'm gonna take pause this as we go through the through the question, so that we can make sure that all the questions that are asked are being, you know, answered.
Hamza Farooq	00:17:38	I just wanna make sure that recording is started.
Hamza Farooq	00:17:42	Yeah, it is just running. So okay, okay.
Hamza Farooq	00:17:47	hold on what happened.
Hamza Farooq	00:17:56	For some reason, my keyboard decided not to work on me today. Okay. please take your assignment seriously.
Hamza Farooq	00:18:02	The assignments will help you understand, and learn over the course as much as as possible. When in doubt use slack, I have put the link to slack channel in the
Hamza Farooq	00:18:17	in the module. So if you go here you will excuse me. If you go to the slack Channel link, you will be able to join the slack channel
Hamza Farooq	00:18:27	in that slack channel. You should be able to sort of converse with everyone. You know, you can see the entire class. You can talk to someone, and then there is a there is a entire group that I've made, which is called Advanced Lm. 2024, 0 one. That's a very large name, but that's the group dedicated to our cohort.
Hamza Farooq	00:18:45	So please make sure that you join that channel there should, if you can, share that link also within the slack, or you know, because you first have to join Slack, and once you have joined slack, then you'll be able to join that chat.
Hamza Farooq	00:19:01	So please make sure that you're that you are able to join.
Hamza Farooq	00:19:07	alright and okay.
Hamza Farooq	00:19:12	Alright. And

Hamza Farooq

00:00:17

Awesome. Hey, everyone! Can you all hear me and see me? And Loki also see Loki? no. His name is Loki LO. Ki. Okay.

Hamza Farooq

00:00:29

everyone, those who don't know me. My name is Hamza. I have been an instructor for a few years, and I'll I'll give you more details about me as as we go through the class.

Hamza Farooq

00:00:43

I wanna first welcome you all for coming to the session. Thank you for signing up. There's some of you who have taken a course with me before. There's some who are new on. So I think what I'm gonna do is just wanna get a feel of the folks who are joining, so just use your thumbs up

Hamza Farooq

00:00:59

to just mention if you haven't. If you have never met before.

Hamza Farooq

00:01:03

just use that em Emoji thumbs up emoji that really helps.

Hamza Farooq

00:01:09

And

Hamza Farooq

00:01:11

I'm just gonna say, this is gonna be a very interesting course it took us a while to put this together.

Hamza Farooq

00:01:17

and there's a whole team behind it who sort of. We worked

Hamza Farooq

00:01:22

quite some time getting this course up and running

Hamza Farooq

00:01:26

and there, there's some part of it which are still experimental. So we'll learn from this experience, and we'll we'll we'll push it, or to grow into other parts.

Hamza Farooq

00:01:37

Alright without further ado I should go ahead, share my screen.

Hamza Farooq

00:01:43

Excuse me, can you all see my screen? It's amazing. Alright! Let me expand it over here. Alright!

Hamza Farooq

00:01:54

Alright. So if the first module, that we're gonna work on is gonna discuss enterprise rag, and we will be working on something called, which is which we have created from scratch. It's called semantic cash.

Hamza Farooq

00:02:06

Now, all the stuff that we'll do is not something that we are just teaching you this. This is a part of the company that I run, and we have built products for them, for for the company which I'm making them available through the courses.

Hamza Farooq

00:02:22

So anything and everything that you see that is custom built.

Hamza Farooq

00:02:27

It's pretty much something that we have in implemented ourselves, and we are going to use it in. We use it in our, in our work, and we would love for you to learn about it, and sort of apply that in the in your use cases.

Hamza Farooq

00:02:40

So just a brief video about me. My name is Humza. I run a company which is called traversal.ai. I've been running it for the past 6, 7 months before that I was at Google, and before Google, I was at Walmart labs. It's about 10 years of my life A few years before that I was in management consulting. I don't know what I was doing, but I was doing something.

Hamza Farooq

00:03:01

And I am also an adjunct professor at Stanford and Ucla, and over there also it similar courses. I have another course. Excuse me.

Hamza Farooq

00:03:13

I have another course that I run on foundational Llms. Some of you. I think there are quite a few of you here who have taken that course. And you know I'm happy to that. You are. You're coming from that course onto this advanced version this advanced course was

Hamza Farooq

00:03:31

pushed for. I was pushed to put this together by a couple of folks. There's a log. And Zenup, who basically were like, we need to make this course. They previously took my co-course with me, and it's like we need to go to the next level. That's where we started putting together this course a month ago.

Hamza Farooq

00:03:50

and it will. We're gonna cover a lot of things.

Hamza Farooq

00:03:54

I wanna I want you to meet the team. I don't know how many of them have signed up are shown up. But we have. I've been working with Najila the first person I don't know if I see her on the call Najilia. Are you on the call?

Hamza Farooq

00:04:09

She's not. It's okay. So she basically she she helps has helped me put together the course other than that. There's 3 other people who who have been working with but do do you want to introduce yourself?

Batool Haider

00:04:27

Hello! Can you hear me? Yes, we can hear you.

Batool Haider

00:04:30

Oh, hello, everybody! This is batul heather. I work as the head of AI for Travis. So before traviso. I served as an applied scientist for Amazon AI. For about 5 years and prior to that was working in a bunch of different companies. And I started all of this at Stanford. As a grad student as well as a research assistant. So glad to see all of you here

Hamza Farooq

00:04:55

awesome, and you'll be seeing a lot of things that you know, batu will be involved in a lot of part parts of this course. She is. Gonna be publishing a lot about other things. Research projects also. So it'd be great to, you know. Reach out to her, connect with her.

Hamza Farooq

00:05:11

You'll you'll learn a lot from her. We have Kamal on our team. Kamal, recently joined our team. Kamal, you wanna introduce yourself? kanwalmehreen 00:05:21 Yeah, sure. So my name is Kabil and I recently joined Traversal as developer advocate. Ml. And so I also work as a technical content writer at Katyina gets for over 1.5 years nice to meet you all, and I hope that yeah, this go

Hamza Farooq

00:05:42

awesome. We have also Dashl over here, Dashiell. It will be joining a little later, and he'll be leading one of the sessions, so he will join the team. So

Hamza Farooq

00:05:53

it took almost 5 of us, and one month of Tom stop work to put together some of this. So please know, this is a lot of this is experimental. We're learning it as we go, but we will work with you to improve it and we'll try to. You know. Get your feedback and implement more things as we go.

Hamza Farooq

00:06:10

Now, this is the money slide. Ii call this the money side, because this is our major overview of what we intend to cover in this.

Hamza Farooq

00:06:20

So we expect you to know what drag is. We expect you to have worked on drag. We expect you to have an understanding on ve what vector databases are?

Hamza Farooq

00:06:29

And you kind of am implemented in some form or the other, like on a collapse notebook or a Jupiter notebook, or you've taken a course with me or some other company. There's few folks who have taken a course with data since Dojo, also, where I actually also teach.

Hamza Farooq

00:06:45

But

Hamza Farooq

00:06:46

the idea is that you know what drag is. And you're like, okay, I want to take rag to the next level. I want to start thinking about production level stuff.

Hamza Farooq

00:06:54

I want to think about how we connect cloud networks to each other. I want to know, how do we make sure that all the different endpoints are connected to each other in a production manner.

Hamza Farooq

00:07:04

It can be small data.

Hamza Farooq

00:07:06

But you can't run a Jupiter notebook as a product, right? You have to put it into a cloud. So we will be working on that part. So I'm I'm just gonna say that if you haven't worked on rags.

Hamza Farooq

00:07:19

please reach out to me right after this class, and maybe I can move you to the foundational course. I have an understanding that you know Drag, and you have hands on experience of python, or you have a good understanding of how Python works. And you can write code.

Hamza Farooq

00:07:35

because this course is going to push you

Hamza Farooq

00:07:39

in every possible way. This is. This is going to be a difficult course, not because we've made it difficult, but because production is difficult, and we've tried to make it as easy as possible for you to consume it. It's not a math, heavy course. It's not math heavy. It's code heavy. You're gonna write code on your own. And you're gonna build stuff that you that is not available on Youtube. So this is the the version. 2 of you know the real world, which is

Hamza Farooq

00:08:08

most of the things that you will see here. Some form of them are not available on

Hamza Farooq

00:08:13

are not available on Youtube because they only show you do. Jupiter. Notebooks will show you. Gcp, aws, azure. And we've I've sent an email. I will be following up an email also, but different things about that.

Hamza Farooq

00:08:26

So what are we gonna cover in this course, we're gonna start with discussing enterprise rag as a major theme.

Hamza Farooq

00:08:33

The first class we will talk about is semantic caching and how to build it from scratch like you will. We will write code like I've written the code. You will see it, but the code is basically the bare minimum of what you need to do. Semantic caching. And I'll explain you what semantic caching is. But semantic caching is a step beyond the normal version of caching.

Hamza Farooq

00:08:55

So we will be covering that. And then the second part of this today we will integrate something similar with Gcp, so you will spin up your Gcp environment and you will pull data from somewhere, push it to your own big query

Hamza Farooq

00:09:09

and use that data to create a drag application right today in the class on with reddish integration.

Hamza Farooq

00:09:17

So I just want to get let you know. This is I mean, we've done snorkeling, most of us, or some of it done snorkeling in our life. This is scuba diving. so you will be in what, in the deep waters from day one. And this is by design. This course is called advanced. This is for that very reason.

Hamza Farooq

00:09:36

If it tingles you. I really like that because it's me. It makes me feel that you're ready for the for the next in, and I've worked with some of you, so I know you're all ready for that.

Hamza Farooq

00:09:46

So the second, the then we'll talk talk about in the next class. We'll talk about guardrail for Llms, and we'll go into Nemo. Nemo Godre's. We go deeper into how different architectures of Godrell look like one of the versions that that has been created by Nvidia. We'll discuss that.

Hamza Farooq

00:10:06

Then we'll go to model hosting on a local ma, a local machine, for example, a collab notebook with the or something like that, and we'll also look into run ports. So run port. Basically, I know some of you were trying to set up Run, Port Run port. You will have to add money about $15, but it should be enough for you to get started.

Hamza Farooq

00:10:24

and then we will build an inference endpoint. So you basically, right now, like you use open. AI. You will build your own infill's endpoint. because

Hamza Farooq

00:10:35

when you let's say you work in an organization, you work in a Fintech, you work in a healthcare. They do not allow you to use open AI to build applications. You have to use your own local. So we'll teach you how to build your own local infants, which means that

Hamza Farooq

00:10:49

you will have an Api key which is hosting somewhere.

Hamza Farooq

00:10:54

and that, Api you can use to generate your own rack in a different environment. That's the power that we want to push you so. And then we'll sort of try to take a break a week, a week break so that you can cover up on those topics

Hamza Farooq

00:11:08

from there. What we'll do is that we'll look into

Hamza Farooq

00:11:12

advanced retrieval techniques which are just beyond the cosine similarity and basic ones we look into call board. We'll look into sparse vectors. We look into a a, a bunch of things.

Hamza Farooq

00:11:23

Finally, we'll go into fine tuning with Rlhs and Tpo. These are the dpo is the most recent version of fine-tuning. then we'll go into modern merging, which is a new technique again, which has, you know, you will be converging models together to see mixture of mixture of experts or something like that.

Hamza Farooq

00:11:46

Finally, last but not least, we'll teach you how, or we'll try to teach you how to integrate with Node. Js, so you can build your own.

Hamza Farooq

00:11:54

So web site, which has AI in embedded in it. This is, I've put a tool because this is gonna be a more experimental part, because this will go beyond no js, like we. So we'll tell you what to do with no Gs, it's not like, oh, we're gonna just leave you in the middle.

Hamza Farooq

00:12:12

But the idea is, I just do not like the fact that you just use python and show python you. You call it a day. We'll teach you how a software engineering work will come into play. Richard, I'm looking at you right now. I would need your help

Hamza Farooq

00:12:25

in in some of this. For anyone who knows? Richard has helped us in the previous courses. He comes with extremely amazing background and software engineering and he's trusted us with the second time to come in, you know. Be on this course, going to pause here. I know I've taken a lot Eric. Let's start with you.

Eric Brichetto

00:12:43

So when we are talking about the enterprise rag, will we be dedicating any time to online rag online being connected to the web? Or will it be primarily or solely focused on offline rag.

Hamza Farooq

00:12:59

You know, I want to. II wouldn't run a class without talking about online Llm, so in today's class, we'll talk about online Llm, and we'll every single class will talk about online Llms. I don't know how much we can cover on how to build it from scratch, but there is an Api endpoint that we have made, and we would love for you to use that to build your products.

Hamza Farooq

00:13:17

So we'll we will take you to this. So our enterprise rag, all our applications will have an online search and an offline search. When I say offline, it's proprietary data, it's static. The online is that you will search in real time on Internet and find an answer.

Hamza Farooq

00:13:34

And we have built an Api for you for this class. So you can use that for free. So you don't have to pay for it. It's for free. But basically, you will be using that to build applications. And the first class today on semantic caching we will be talking about that.

Hamza Farooq

00:13:52

Good.

Kurt Lozier

00:13:54

Yes, Homs on the fine-tuning. Any chance we'll have an opportunity to touch on

Kurt Lozier

00:14:00

RLAI. F. And the reason why I'm asking has to do with bias and healthcare.

Kurt Lozier

00:14:07

You know some of the

Kurt Lozier

00:14:10

you know, learning with. you know, with human reinforcement.

Kurt Lozier

00:14:16

has shown bias.

Kurt Lozier

00:14:18

particularly because of the age groups and the and the

Kurt Lozier

00:14:23

cultural make ups of the people. And that's a big thing in healthcare right now.

Kurt Lozier

00:14:28

So I'm wondering

Kurt Lozier

00:14:30

on the if if you know

Kurt Lozier

00:14:34

some of what I've read on trying to get rid of that bias using Rl, AI app

Kurt Lozier

00:14:39

can can help there.

Hamza Farooq

00:14:41

I think.

Hamza Farooq

00:14:43

since that class is not made yet, we can definitely do that.

Hamza Farooq

00:14:47

This is this is the great power of about the course that we have, building it it up as we go. So we'll take your feedback and say, Hey, can you add this, or you know, so we'll evaluate that part. So code as you mentioned, and I will sort of look into it again, having a team helps kamal and batul, and all the folks on Dashi on the call. They'd be helping us, you know, build the course so we will work on that

Kurt Lozier

00:15:11

awesome. Thank you.

Hamza Farooq

00:15:12

Thank you. Alright. I think we have. Dashi here, Dasha, do you want to give an intro about yourself? We missed you earlier on. darshil 00:15:19 Yeah, sure, sure. Hey, it's nice to meet you all. I'm Darschil, and I'm currently pursuing masters in computer science from Santa Clara University. I have about 3 to 4 years of experience with artificial intelligence machine learning, computer vision and Lp, and I've been working with thumbs since more than a year now. He was a professor at Santa Clara University for one of the course, and that's where we met about a year ago, and since then we have been working together on different projects. darshil 00:15:49 Nice to meet you.

Hamza Farooq

00:15:51

Awesome. So if there's any problem, your life is falling apart. Just message. Make your life easier. Okay, a few more things to cover, and we'll be on our way. This is the synchronous class. Please keep your video on as much as possible. See I'm I make this joke. This joke is getting old. I need to get a new joke, but we all have bad hair day

Hamza Farooq

00:16:11

and you can see, as you know, I didn't make my hair today. But what I would love to do is have your video on so I can look at you. You can. You can give me your reactions if you read something. If you see something. This is just for us to interact. It helps me. Remember who you are. It helps with this research. That shows if you have your video on, you're able to concentrate better. Si, I'm looking at you for that. But the idea is that have your video on

Hamza Farooq

00:16:40

is is just, I know sometimes you have to turn it off. I understand it's that we all have things to do, but it will be good to interact with you all, and just learn on your experience. And some of you have taken a class with me before. So you know what I'm what I mean, and how how we work

Hamza Farooq

00:16:56

alright. Raise your hand virtually, or drop in a question in in the chat we have. You know we have Dashiell, who will be Dasha and Kamal, who will be, you know, following up on all the questions that you have. So we will basically follow up on the theme of the questions. And sometimes,

Hamza Farooq

00:17:14

sometimes you know, what happens is that I miss a question. Dashl and Kabul will make sure. Sort of you know I will. I will be able to answer answer that.

Hamza Farooq

00:17:23

I know there are a few of almost 30 people. So I wanna make sure that

Hamza Farooq

00:17:27

we don't wanna concentrate all the questions at the same time. So I'm gonna take pause this as we go through the through the question, so that we can make sure that all the questions that are asked are being, you know, answered.

Hamza Farooq

00:17:38

I just wanna make sure that recording is started.

Hamza Farooq

00:17:42

Yeah, it is just running. So okay, okay.

Hamza Farooq

00:17:47

hold on what happened.

Hamza Farooq

00:17:56

For some reason, my keyboard decided not to work on me today. Okay. please take your assignment seriously.

Hamza Farooq

00:18:02

The assignments will help you understand, and learn over the course as much as as possible. When in doubt use slack, I have put the link to slack channel in the

Hamza Farooq

00:18:17

in the module. So if you go here you will excuse me. If you go to the slack Channel link, you will be able to join the slack channel

Hamza Farooq

00:18:27

in that slack channel. You should be able to sort of converse with everyone. You know, you can see the entire class. You can talk to someone, and then there is a there is a entire group that I've made, which is called Advanced Lm. 2024, 0 one. That's a very large name, but that's the group dedicated to our cohort.

Hamza Farooq

00:18:45

So please make sure that you join that channel there should, if you can, share that link also within the slack, or you know, because you first have to join Slack, and once you have joined slack, then you'll be able to join that chat.

Hamza Farooq

00:19:01

So please make sure that you're that you are able to join.

Hamza Farooq

00:19:07

alright and okay.

Hamza Farooq

00:19:12

Alright. And