Amazon Bedrock Tutorial: Generative AI on AWS

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Amazon Bedrock Tutorial: Generative AI on AWS

Рет қаралды 15,089

pixegami

Күн бұрын

Пікірлер: 27

@maxzhao2635 8 ай бұрын

This is a great tutorial! I have already set up my AWS account and CLI. I run your code and it works for the first time. Thank you so much!

@pixegami 8 ай бұрын

Awesome! Glad to hear it went well :)

@malkitsingh01 4 ай бұрын

Just discovered the channel. Great content and production quality ❤ subd

@pixegami 4 ай бұрын

Thank you! Welcome aboard!

@kenkrueger65 8 ай бұрын

Thanks, easy to follow. Just FYI Amazon offers an image model now: Titan Image Generator G1

@pixegami 8 ай бұрын

Thank you :) Yes I just saw that! And Stable Diffusion is upgraded to a newer version too. AI moves too fast!

@modoulaminceesay9211 13 күн бұрын

Thanks for this tutorial

@carlki 9 ай бұрын

Great tutorial!

@pixegami 9 ай бұрын

Thank you!

@carlki 9 ай бұрын

Can you do a tutorial on comparing 2 or more documents via file upload?

@pixegami 9 ай бұрын

Yup! I'm working on that and will publish a video soon (using Langchain, RAG and OpenAI).

@JoeCummings 8 ай бұрын

excuse my naivete but why would I write all that long code if I can literally just type in the image prompt what I want instead and get the same result?

@pixegami 8 ай бұрын

The web UI is great for one-off generations. But the “long code” is a programmatic way to control your use of GenAI. You only need to type it once, but it gives you the power to automate future generations. For example you might want it to generate a image automatically once per day for your app. Or you want it to generate 1000 different character designs at once, based on a set of descriptions. Doing those manually is going to cost more in the long run than a well written automation.

@JoeCummings 8 ай бұрын

@@pixegami thanks! Great response and great content

@withagratefulheart 5 ай бұрын

Will AWS charge for trying out things in playground

@kailash8421 8 ай бұрын

How can we do a AI search within a data source internally instead of Global? Otherwords invokemodel should fetch the results from the data source that I point.

@pixegami 8 ай бұрын

The easiest most common way to do this is to use a technique called "RAG" (Retrieval Augmented Generation). This is what OpenAI uses as well when you build a custom GPT. Here's some info on how to get started: python.langchain.com/docs/expression_language/cookbook/retrieval Here's a video tutorial I recorded about it (it uses OpenAI instead of AWS though, but you can change that): kzfaq.info/get/bejne/qsmheLiEs6nSaH0.html

@alpaykasal2902 8 ай бұрын

Thanks for the awesome video.. i was wondering if you know if i can import other models and lora's and i plan to use the python output by comfyui. I've had trouble finding this info for bedrock. Any insights? Thanks again. To me, it looks like just the plain vanilla foundation models... I'm hoping you maybe tried an import from huggingface on your own.

@pixegami 8 ай бұрын

I haven't really gone deep into using Stable Diffusion and ComfyUI before, but just looking at the website, I think it's a different use-case to what you'd wanna use AWS Bedrock for. I think that use-case is if you have your own models (like SDXL) and are self-hosting it and want to set up a more complex image generation pipeline with more control (from what I read on github.com/comfyanonymous/ComfyUI). But the use case for AWS Bedrock is more where you don't mind having less control on the image generation itself, but just want to access via an API and have it easily integrated with a web-app or other service.

@alpaykasal2902 8 ай бұрын

@@pixegami Thanks for the response... I did a bit more research and I totally agree with you. Baseten has a pretty thorough blog and video showing what I'm after, I'm going to give that a try. Merry christmas!