Running prompts at CI does not make your GenAI app enterprise ready
32:37
Running prompts at CI does not make your GenAI app enterprise ready
4 ай бұрын
The BEST component for your RAG system
44:56
The BEST component for your RAG system
4 ай бұрын
Why AI apps don't work in prod: AI Reliability Survey
32:25
Why AI apps don't work in prod: AI Reliability Survey
4 ай бұрын
What It Actually Takes to Deploy GenAI Applications to Enterprises Custom Evaluation Models
48:45
What It Actually Takes to Deploy GenAI Applications to Enterprises Custom Evaluation Models
4 ай бұрын
Lessons learned from scaling large language models in production
40:18
Lessons learned from scaling large language models in production
4 ай бұрын
From Idea to Production: AI Infra for Scaling LLM Apps
38:26
From Idea to Production: AI Infra for Scaling LLM Apps
4 ай бұрын
LLM Fine-Tuning for Modern AI Teams: How One E-Commerce Unicorn Cut Inference Cost by 90%
46:11
LLM Fine-Tuning for Modern AI Teams: How One E-Commerce Unicorn Cut Inference Cost by 90%
4 ай бұрын
Function Calling for LLMs: RAG without a Vector Database
39:02
Function Calling for LLMs: RAG without a Vector Database
4 ай бұрын
Finding training inefficiencies with CentML DeepView
40:07
Finding training inefficiencies with CentML DeepView
4 ай бұрын
Evaluating LLMs and RAG Pipelines at Scale
35:25
Evaluating LLMs and RAG Pipelines at Scale
4 ай бұрын
Empowering Data Science Teams: Harnessing AI with Appen
30:14
Empowering Data Science Teams: Harnessing AI with Appen
4 ай бұрын
Better Chatbots with Advanced RAG Techniques
49:12
Better Chatbots with Advanced RAG Techniques
4 ай бұрын
Enhance Cost Efficiency in Domain Adaptation with PruneMe
16:41
Enhance Cost Efficiency in Domain Adaptation with PruneMe
4 ай бұрын
Data Versioning in Generative AI: A Pathway to Cost-effective ML
35:24
Data Versioning in Generative AI: A Pathway to Cost-effective ML
4 ай бұрын
Building ML and GenAI Systems with Metaflow
47:12
Building ML and GenAI Systems with Metaflow
4 ай бұрын
Efficiently Fine-Tune And Serve Your Own LLMs
41:59
Efficiently Fine-Tune And Serve Your Own LLMs
4 ай бұрын
The Who, What, and Why of Data Lake Table Formats
47:33
The Who, What, and Why of Data Lake Table Formats
4 ай бұрын
Private, Local AI
36:56
Private, Local AI
4 ай бұрын
The Journey of Building a Leading Open Source LLM Security Toolkit
32:00
The Journey of Building a Leading Open Source LLM Security Toolkit
4 ай бұрын
The Secret Sauce for Deploying LLM Applications into Production
31:23
The Secret Sauce for Deploying LLM Applications into Production
4 ай бұрын
Running Multiple Models on the Same GPU, on Spot Instances
32:31
Running Multiple Models on the Same GPU, on Spot Instances
4 ай бұрын
Towards Robust GenAI: Techniques for Evaluating Enterprise LLM Applications
45:12
Towards Robust GenAI: Techniques for Evaluating Enterprise LLM Applications
4 ай бұрын
Introducing Arize-Phoenix and OpenInference
42:41
Introducing Arize-Phoenix and OpenInference
4 ай бұрын
Mitigating RAG Hallucinations with Aporia Guardrails
24:25
Mitigating RAG Hallucinations with Aporia Guardrails
4 ай бұрын
LLMs From Dream to Deployed
28:41
LLMs From Dream to Deployed
4 ай бұрын
Evaluation Engineering: Iterative Strategies to Testing Prompts
28:35
Evaluation Engineering: Iterative Strategies to Testing Prompts
4 ай бұрын
Customizable RAG Workflows with your Own Data
39:07
Customizable RAG Workflows with your Own Data
4 ай бұрын
Wanted: A Silver Bullet MLOps Solution for Enterprise
30:39
Wanted: A Silver Bullet MLOps Solution for Enterprise
4 ай бұрын
Evaluation Techniques for Large Language Models
1:40:21
Evaluation Techniques for Large Language Models
4 ай бұрын
Пікірлер
@zeelbhatt7585
@zeelbhatt7585 Ай бұрын
This is exactly what I wanted for my project
@jeromeeusebius
@jeromeeusebius Ай бұрын
It is possible to share the google doc that describes used in the hands-on workshop. Thanks
@nikunjbedia9398
@nikunjbedia9398 2 ай бұрын
This video caused a clash of Nikunjs in my team
@fantasyapart787
@fantasyapart787 2 ай бұрын
Nice Video, can we get the github link code for practising it
@EphremTadesse-v8x
@EphremTadesse-v8x 2 ай бұрын
This is really awesome! Thank you very much.
@techtb2923
@techtb2923 2 ай бұрын
Nice explanation thanks mam 👌
@stevietee3878
@stevietee3878 3 ай бұрын
Excellent video, full of incredibly useful information, and very well presented.
@dattran6096
@dattran6096 3 ай бұрын
Great, Could you share the resources used for this video? Many thanks
@elenagavrilova3109
@elenagavrilova3109 4 ай бұрын
15:40 I'd add here a Task which is more 'main' than any other task. QA must understand what they do and why, they must understand business domain itself. Thank you for the video.
@Gerald-iz7mv
@Gerald-iz7mv 4 ай бұрын
Hi, how to export to onnx using cuda?
@parasetamol6261
@parasetamol6261 5 ай бұрын
can you give me an example notbook to do this. in video.
@kanakorn
@kanakorn 5 ай бұрын
Nice, but it should be better to split into chapters, first 1 hours was setting up on AWS. Thank you.
@VineetDave-r4y
@VineetDave-r4y 6 ай бұрын
Amazing structured breakdown of the problem.
@mysticlunala8020
@mysticlunala8020 7 ай бұрын
Hello Kartik/KZbin Handler, I have just joined a company as a Machine Learning Engineer Intern and still a fresher. I would like to keep my Name and where I work anonymous for this specific platform. I am working on a task where I need to analyse the dataset I have been given and convert that data into text using LLM. Example Data: Date Temperature 2 Feb 30C 3 Feb 24C Example Output: Today's weather will be warmer than yesterday and a little pleasant.... <so on> The use case is a little different but this is just an example to explain what I actually want. A little more explanation: What I want is that the LLM to read the dataset completely either through an excel I have or any format like CSV and answer my queries or create a conclusion based on the dataset I gave. I would love to get some help/insights from someone as experienced as you on how I can achieve my goal. We can connect on some other platform if you are comfortable with it. You can contact me at me personal mail: [email protected] Thanks. regards, Novice ML Engineer
@maazmusa3192
@maazmusa3192 7 ай бұрын
Awesome talk. I am preparing for a privacy preserving ML interview and this was an amazing crash course. Second, for the thermal flu issue you mentioned, can't we just use FHE or SMPC like you mentioned in the slides?
@Nidhivenu
@Nidhivenu 8 ай бұрын
Well explained!! thank you !!
@MrNewAmerican
@MrNewAmerican 8 ай бұрын
For f****s sake turn the damn phone off
@MrNewAmerican
@MrNewAmerican 8 ай бұрын
For f****s sake turn the damn phone off
@miguelalba2106
@miguelalba2106 8 ай бұрын
Very good tutorial, specially the MLServer part
@ydinuda
@ydinuda 9 ай бұрын
Helpful!
@palanisamy-dl9qe
@palanisamy-dl9qe 9 ай бұрын
Do you have demo video for this? And not able to access the github
@andaldana
@andaldana 9 ай бұрын
Great talk! As suggested, we do see now more "small" LLMs trained with considerably larger amounts of tokens than the "compute-optimal” recommended by the Chinchilla scaling laws
@grzegorzknor8051
@grzegorzknor8051 10 ай бұрын
Great stuff. Really looking forward to more content like this! Props @AI-Makerspace
@franksommers7607
@franksommers7607 10 ай бұрын
This talk is amazing. Completely nailed it.
@mohandutt7442
@mohandutt7442 10 ай бұрын
Repo link in description or comments will be helpful
@claude-p9c
@claude-p9c 10 ай бұрын
Thanks for the very good overview of training distributed systems on kubernetes, would love to see more detailed information making all the pieces fit together !
@genesiscloud
@genesiscloud 10 ай бұрын
Well done, Stefan!
@drpchankh
@drpchankh 10 ай бұрын
Finetuning e.g. Mistral LLM should perform way better than BERT. In practise, we typically finetune LLM model for the task.
@drpchankh
@drpchankh 10 ай бұрын
Great talk!
@djethereal99
@djethereal99 10 ай бұрын
Great talk!
@satyagadepalli5681
@satyagadepalli5681 10 ай бұрын
fantastic
@yafz
@yafz 10 ай бұрын
Great talk!
@manasakesagani1390
@manasakesagani1390 10 ай бұрын
It is too good thank you for this wonderful workshop
@manasakesagani1390
@manasakesagani1390 10 ай бұрын
Can you please let me know where can I find the presentations and note books ?
@biffboffo
@biffboffo 11 ай бұрын
Is there still a link somewhere to the slides?
@SanjeevKumar-dr6qj
@SanjeevKumar-dr6qj Жыл бұрын
I have found the link of the docs in case anyone needs it . docs.google.com/document/d/1zbPak5aDFcMgEIYbDmL_F9N0GHptvoobxP9GpQlesmk/edit
@ardiscapes4410
@ardiscapes4410 Жыл бұрын
Promo`SM
@shaikbyte
@shaikbyte Жыл бұрын
Grate session. Thank you guys
@machinelearning3518
@machinelearning3518 Жыл бұрын
great explaination
@machinelearning3518
@machinelearning3518 Жыл бұрын
lack of clarity in ppt
@machinelearning3518
@machinelearning3518 Жыл бұрын
plz take care of the clarity its really shitty
@jagadeeshmemories8760
@jagadeeshmemories8760 Жыл бұрын
Great session
@juliocardenas4485
@juliocardenas4485 Жыл бұрын
This is intellectually beautiful and useful
@ZhengCheng
@ZhengCheng 2 жыл бұрын
the 1080p is the same as 360p
@sreenivasreddy6996
@sreenivasreddy6996 2 жыл бұрын
👍👍🎉🎉❤️👍
@davidcodes009
@davidcodes009 2 жыл бұрын
fanstastic demo! thank you so much
@deep8891
@deep8891 2 жыл бұрын
Can you share the sample code as well ?
@Сергей-ф2м2т
@Сергей-ф2м2т 2 жыл бұрын
nice
@kaviaaravind3980
@kaviaaravind3980 3 жыл бұрын
Where to find the demo notebooks?
@user-tk5ir1hg7l
@user-tk5ir1hg7l 3 жыл бұрын
These are amazing presentations but the slides are a bit blurry on all the videos on your channel, would be great if you could fix that in the future. Thank you.
@channel_panel193
@channel_panel193 3 жыл бұрын
ugh why do so many of these recordings have bad audio