- Видео 8
- Просмотров 6 316
Tech With Neelam Koshiya
Добавлен 1 май 2023
Try Anthropic Claude 3.5 artifacts feature to create a stylist react application
Try Anthropic Claude 3.5 artifacts feature to create a stylist react application
#anthropic #claude3.5 #artifacts #genai #easy #visual #react #stylish #retail #react #webapp
#anthropic #claude3.5 #artifacts #genai #easy #visual #react #stylish #retail #react #webapp
Просмотров: 227
Видео
Anthropic Claude 3.5 artifact feature to create react application
Просмотров 2254 месяца назад
In this video, I will be walking you through a practical way of using artifact. We will be creating a react application for statistical visualization. Honestly, you can try out other prompts like chat web application, streamlit application etc. To get started - claude.ai/ #anthropic #claude3.5 #artifacts #genai #easy #visual #react #statistics
AmazonQ for product search or recommendation (Media and entertainment)
Просмотров 248 месяцев назад
This video is just the demo of how you can do product search using natural language with AmazonQ. If you are interested in building this application and want step by step video about implementing it, please let me know in the comments
GenBI Retail shrinkage - Get insights from RFID telemetry data using natural language
Просмотров 288 месяцев назад
GenBI Retail shrinkage - Get insights from RFID telemetry data using natural language. This is a demo which was at NRF 2024. We are leveraging generative BI feature of quicksight. Additonally you can also check the reference architecture for RFID integration - aws.amazon.com/solutions/guidance/RFID-store-inventory-on-aws/ #rfid #generativeai #quicksight #aws #genbi #retailinnovation #retail
Deploy generative AI models from Amazon SageMaker JumpStart using the AWS CDK
Просмотров 792Год назад
In this session, learn how to deploy image and text generative AI models from JumpStart using the AWS Cloud Development Kit (AWS CDK).We use the Stable Diffusion model for image generation and the FLAN-T5-XL model for natural language understanding (NLU) and text generation from Hugging Face in JumpStart. Here is the github link: github.com/aws-samples/generative-ai-sagemaker-cdk-demo
Sagemaker Model Monitor - Best Practices and gotchas
Просмотров 1,4 тыс.Год назад
In this video, we will be talking about best practices and gotchas while using Sagemaker model monitor. Note: The pre-req is that you already have a understanding of model monitor. However if you want a overview and demo video of Sagemaker model monitor, please let me know in the comments. Supporting links: Documentation: docs.aws.amazon.com/sagemaker/latest/dg/model-monitor.html Github example...
Optimize AWS Database for Sustainability
Просмотров 37Год назад
In this short video, learn about how you can optimize AWS Database for Sustainability #aws #sustainability #greentechnology #womenintech #neelamkoshiya
Fine tune GPT-J 6B foundation model using Amazon Sagemaker
Просмотров 3,6 тыс.Год назад
In this video, I m going to walk you through how we can use Amazon SageMaker JumpStart to easily fine-tune a large language text generation model on a domain-specific dataset in the same way you would train and deploy any model on Amazon SageMaker. In this example we will be fine-tuning the GPT-J 6B language model for financial text generation using both the JumpStart SDK and Amazon SageMaker S...
Can I run this on my 3060 Card? ( I have laptop)
Neelam, this video is awesome! Thank you so much!
Please provide the notebook link. It's not complete link in the desc
I'm using Llama2 to build an AI chatbot based on a custom knowledge base (approx. 100 pages PDF) with AWS SageMaker as the backend. I expect around 2000 users/month and 5-7 simultaneous interactions. Each user will ask about 5 questions. What AWS instance size would be optimal for this usage? Also, can you tell me what will be the projected monthly cost considering these metrics? Any advice is welcome
What did you end up going with?
is it free?
github.com/aws/amazon-sagemak...??
Hi.. very good video Can you please make some videos with respect to generative ai on aws.. specially with sagemaker jumpstart
my custom data includes text as well as some numerical variables, am I able to fine-tune using these numerical variables?
Your style of communication is very clear and to the point. I really learned a lot from this video. Can you create more videos, which start sagemaker from scratch?
Thank you for your comments. Yes, I plan to do more videos.
This may help you, it start with basics of Sagemaker - ruclips.net/video/q5obnSh1zH8/видео.html
Hi Neelam, will aws bill for the instances when there is no active inference or training in progress? Or would we need to delete the notebook at the end to avoid billing.
You can check this blogpost : aws.amazon.com/blogs/machine-learning/save-costs-by-automatically-shutting-down-idle-resources-within-amazon-sagemaker-studio/