- Видео 36
- Просмотров 25 059
Machine Learning Courses
Добавлен 7 мар 2022
Testing our Sagemaker Model with Postman, AWS Api Gateway and Lambda
Link to the full course here:
academy.zerotomastery.io/a/aff_km1zssm1/external?affcode=441520_ydkmw4ye
academy.zerotomastery.io/a/aff_km1zssm1/external?affcode=441520_ydkmw4ye
Просмотров: 40
Видео
Analyzing AWS Sagemaker Model Load Test Results
Просмотров 3514 дней назад
Link to the full course here: academy.zerotomastery.io/a/aff_km1zssm1/external?affcode=441520_ydkmw4ye
Deploying our FineTuned LLM to Sagemaker
Просмотров 7014 дней назад
Link to the full course here: zerotomastery.io/courses/ai-engineer-bootcamp-aws-sagemaker/
Analyzing AWS Sagemaker Training Job Results in CloudWatch
Просмотров 5414 дней назад
academy.zerotomastery.io/a/aff_km1zssm1/external?affcode=441520_ydkmw4ye
Understanding the Mathematics Behind Cross Entropy Loss(for LLMs)
Просмотров 4114 дней назад
Link to the full course here: zerotomastery.io/courses/ai-engineer-bootcamp-aws-sagemaker/
Modify the Architecutre of LLMs in Sagemaker with PyTorch
Просмотров 4914 дней назад
Link to the full course here: academy.zerotomastery.io/a/aff_km1zssm1/external?affcode=441520_ydkmw4ye
Understanding the Tokenization Vocabulary of LLMs
Просмотров 19014 дней назад
Link to the full course here: academy.zerotomastery.io/a/aff_km1zssm1/external?affcode=441520_ydkmw4ye
Data Visualization with AWS Sagemaker
Просмотров 3614 дней назад
Link to the full course here: academy.zerotomastery.io/a/aff_km1zssm1/external?affcode=441520_ydkmw4ye
Deploy a HuggingFace Sentiment Analysis Model on AWS Sagemaker
Просмотров 14414 дней назад
Link to the full course: academy.zerotomastery.io/a/aff_km1zssm1/external?affcode=441520_ydkmw4ye
Calculating Raw Attention Scores for Attention Mechanisms in LLMs and Transformers
Просмотров 5082 месяца назад
link to full course: www.udemy.com/course/mathematics-behind-large-language-models-and-transformers/?referralCode=D45F8B15CE6BCC8A2159
Query, Key and Value Matrix for Attention Mechanisms in Large Language Models
Просмотров 3 тыс.2 месяца назад
link to full course: www.udemy.com/course/mathematics-behind-large-language-models-and-transformers/?referralCode=D45F8B15CE6BCC8A2159
Converting Raw Attention Scores to Probability Distributions with the Softmax Function
Просмотров 1262 месяца назад
link to full course: www.udemy.com/course/mathematics-behind-large-language-models-and-transformers/?referralCode=D45F8B15CE6BCC8A2159
Understanding the mathematics Behind Dot products and Vector Alignment for Attention Mechanisms
Просмотров 1442 месяца назад
link to full course: www.udemy.com/course/mathematics-behind-large-language-models-and-transformers/?referralCode=D45F8B15CE6BCC8A2159
Visualizing Positional Encodings in Sine and Cosine Graphs
Просмотров 942 месяца назад
link to full course: www.udemy.com/course/mathematics-behind-large-language-models-and-transformers/?referralCode=D45F8B15CE6BCC8A2159
Understanding Tokenization for LLMs with Python code
Просмотров 622 месяца назад
Understanding Tokenization for LLMs with Python code
Tokenization for Large Language Models like ChatGPT and other Transformers
Просмотров 552 месяца назад
link to full course: www.udemy.com/course/mathematics-behind-large-language-models-and-transformers/?referralCode=D45F8B15CE6BCC8A2159
LLM Evaluation with AWS Bedrock Understanding our Evaluation Report
Просмотров 3477 месяцев назад
LLM Evaluation with AWS Bedrock Understanding our Evaluation Report
Retrieval Augmented Generation(RAG) in AWS Bedrock with LLMs
Просмотров 947 месяцев назад
Retrieval Augmented Generation(RAG) in AWS Bedrock with LLMs
AWS Bedrock Inference Configurations for LLMs and Diffusion Models for Generative AI
Просмотров 18610 месяцев назад
AWS Bedrock Inference Configurations for LLMs and Diffusion Models for Generative AI
Summarise your Meeting Notes with AWS Bedrock, Generative AI
Просмотров 40710 месяцев назад
Summarise your Meeting Notes with AWS Bedrock, Generative AI
Serverless architecture with AWS Bedrock for Generative AI
Просмотров 14010 месяцев назад
Serverless architecture with AWS Bedrock for Generative AI
AWS Bedrock Generative AI: Train your own LLM with your own data
Просмотров 10 тыс.10 месяцев назад
AWS Bedrock Generative AI: Train your own LLM with your own data
Visualizing Multiple Images with Matplotlib in AWS
Просмотров 35Год назад
Visualizing Multiple Images with Matplotlib in AWS
Data Augmentation for Object detection in AWS Sagemaker
Просмотров 120Год назад
Data Augmentation for Object detection in AWS Sagemaker
Setup AWS Step Functions for a Machine Learning pipeline in AWS
Просмотров 774Год назад
Setup AWS Step Functions for a Machine Learning pipeline in AWS
Hyperparameter Tuning with AWS Sagemaker
Просмотров 859Год назад
Hyperparameter Tuning with AWS Sagemaker
Using AWS Eventbridge to set up Cron jobs for our Machine Learning Pipeline in AWS
Просмотров 75Год назад
Using AWS Eventbridge to set up Cron jobs for our Machine Learning Pipeline in AWS
Starting a Batch Transformation Job for Object detection in AWS Sagemaker
Просмотров 1,9 тыс.Год назад
Starting a Batch Transformation Job for Object detection in AWS Sagemaker
Data Visualization with Plotly in SageMaker(Random Cut Forest)
Просмотров 1042 года назад
Data Visualization with Plotly in SageMaker(Random Cut Forest)
Fantastic explanation - very good overview. Revisiting this from last year and this helped me visualise exactly how it worked. Great job
Thanks a lot for a very clear explanation. This is what's needed in ML course videos.
Thanks so much for coding example and template, hope you post more coding examples
This is a great video! Your commentary is v good
Clear explanation!
A really simple and clear explanation. I had been looking for such a a lecture for many days. Thanks
Exactly what I needed
Thanks for clear explanation. very helpfull.
that's crazy expensive 🤯
Hey , I am trying to build a chat bot with internal company data to ask questions ,can i know how to store the history? and can i proceed in the same way you explained? my company wants to give commands or ask questions from bash
hi, please use RAG. I have a course on ztm on how to set up RAG with AWS
Great job, thanks for posting.
hey where is the video previous to this step for training.?
hi, you can purhcase the rest of the course on Udemy :)
Title is wrong, should be Retrieval Argument Generation
Where is the follow-up video?
you can find the Udemy course link in the bio
Where is the next video? -_-
you can purchase the course on udemy
great video
Hey there! Great explanation but I was still a bit confused on this. So I am looking to use Bedrock to train a model on some internal company data so that we can ask questions and converse with it. But I am a bit confused still on the pricing. So from what I see you have a few pricing things here: The price to train your base model onto your custom data. The price to store your custom model over time. The price to actually access and use your custom model. Could you help me with clarity on the last part? So if you have a custom model, there is no way to access it on Demand. The way that it prices you is through Provisioned Throughput instead of "per x Tokens"? I am very confused on that part. Thank you though for the great video!
Hi, as of now if you want to create a model for your company's own internal data it will be a lot of $$$$, because you have to buy the provisioned throughput which is like a dedicated deployment for your model. Meaning it will always be fast and accessible and in return it will be super expensive
Is the pricing per hour based on when a user sends a query? So every hour it’s x amount of dollars??
for the custom model with your own data? it is per hour. For the api call without your custom data it is per API call
@@machinelearningcourses4764. If I’m understanding this correctly.That’s kind of insane. Chat gpt costs 20 dollars a month and you can send a bunch of queries daily with a limit of course. Here they are charging per hour!?
Can I use this to train a model on my own dataset (questions and answers) and answer a pdf in natural language?
yes, you can
Really Great thanks for this tutorial Great Help brother
Boss
Nice 😊
Hey man, I guess you leave the channel but I want you to know this video helped me a lot, and appreciate it a lot. Thanks for all the effort.
I am glad it helped :)