Ollama Multimodal: EASILY setup Llava locally & Integrate API

🌟 Hi everyone! In this video, I'm thrilled to demonstrate the fascinating integration of Ol Lama with Lava, bringing multimodal capabilities right to your computer. We'll delve into how to set up and use this powerful AI tool locally, exploring its potential through a series of compelling examples.

🔧 I'll guide you through each step, from installation to running the model, ensuring you can replicate this seamlessly. We'll test its abilities with different images, analyzing text and visuals with surprising accuracy.

💡 Plus, learn how to integrate Lava into your Python applications using the Ol Lama API, enhancing your projects with cutting-edge AI. Stay tuned for a detailed comparison between two models: Lava and Back Lava, and discover which suits your needs best!

👍 If you're passionate about AI and its practical applications, this video is for you. Don't forget to like, share, and subscribe for more content like this. Thank you for watching!

Timestamps:
0:00 - Introduction to Multimodal AI with Ol Lama and Lava
0:24 - Step-by-Step Installation Guide
0:51 - Running the Model Locally
1:29 - Analyzing Text in Images
2:00 - Understanding Lava's Image Reading Capabilities
2:32 - Integrating Lava into Python Applications
3:31 - Comparison: Lava vs. Back Lava Models

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As always great short and clear tutorial. Thank you very much

[AhmedEssam_eramax]

every video you start with this is amazing enough to do this

[surya]

Can you please give me the code that you used at 2:47?

[wadejohnson]

Nice. What machine are you running locally?

[donniealfonso]

I was a might disappointed in the results returned on a second RpI build. When a photo of small wooden automata with chicken on - In this image, there is a wooden box with three toy animals sitting on it. One of the animals appears to be a rooster, while the other two are birds. The rooster is positioned slightly in front of the other two birds. All the toys are sitting comfortably within the wooden box and appear well-arranged for display purposes.
It did describe the wooden structure and the chicken. However, only the one bird is in the photo.
On a second image of myself and one of my dogs with back drop of closed door - In the image, an older man is holding a white dog in his arms. The man appears to be of Asian descent and seems to be affectionately petting the dog while it rests comfortably on him. The setting includes a doorway and another person present in the background. There are two more dogs visible in the scene, one located closer to the foreground and the other further back towards the right edge of the image.
Good. found the dog and old guy. However, not Asian. Standing holding the dog not petting. There are not two other dogs or another person in the background.
I ran this a couple of days ago with same build and received very accurate result. Went a little too far trying to install another model and broke it. So had start over with build - exactly as the first but results a bit off. Was not expecting an exact result, but not expecting to see things that are not there. I'm curious, any ideas or is this somewhat normal?

[abedzakariya]

This is possible you try model llava run on collab or your local and you use self control cumputing the code python for control task on your computer please make vidéo if this is possible thanks

[pavelgrishin]

Aren't you that guy who always advices to "hold on to your papers" ?

[tonywhite]

What's up with the windows version????

[nitingoswami]

Hey buddy thanks for this video but I have a little issue that it's not handle the multiple queries at a time I have the GPU in my system but still it only processes one query at a time what configurations should I need to do?

[nufh]

Ollama still not have windows support yet.