Microsoft Phi-3 Vision-the first Multimodal model By Microsoft- Demo With Huggingface
Phi-3-vision is the first multimodal model in the Phi-3 family, bringing together text and images, and the ability to reason over real-world images and extract and reason over text from images. It has also been optimized for chart and diagram understanding and can be used to generate insights and answer questions. Phi-3-vision builds on the language capabilities of the Phi-3-mini, continuing to pack strong language and image reasoning quality in a small model.
Phi-3-vision can generate insights from charts and diagrams:
Code Link: colab.research.google.com/dri...
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It's a great model. Very useful. Thanks Krish.
Thanks, sir I have watched your videos and I learned a lot
Awesome content Krish, you are really inspiring a generation who are interested in genai
Amazing stuff !❤
Thank you for your contribution to the open source community. Pls make video on crewai agents creation
thanks again sir!
Hello Krish, thank you so much for the amazing video. Can you please make a video explaining the architecture of multimodal LLMs?
Hey Krish!! Please start a playlist on evaluation methods and techniques of LLM applications please.
Hi Krish, can you please do an end-to-end ML model or project using Kubernetes? Every company is asking about deploy, deploy, deploy and they want us to have practical experience using Kubernetes. Something more than just a basic tutorial.
Is there any future plan to create a hugging face course
@krishnaik06
Ай бұрын
Yes comin up soon
Thanks a lot sir , I have learned much about a.i from you For 1 year almost. And I'm upgrading my pc for a.i workflow, which setup should I consider single GPU or multi GPU.
@moderx
Ай бұрын
Please guide me sir , I want to become A.I Engineer.
🙏💯👍
Can you do the equivalent but simpler with the new Hugging face Langchain SDK?
I think it needs A100. Is it possible to run in free GPUs
I was stucked here if anyone guide me i will get good idea…. Thanks krish ❤
Please be sharing the link to the codes in the video
Sir talk about alpha fold 3
5:15 its 'CAUSAL' and NOT 'Casual'