Imp-V1-3B: How a Tiny Model is Beating Giants in Multimodal LLM Space

Join me on an exciting journey as we dive deep into the world of multimodal small language models (MSLMs) with a special focus on the ground-breaking "Imp project". In this tutorial, I unveil the capabilities of imp-v1-3b, a potent MSLM with a mere 3 billion parameters, crafted by integrating a compact yet formidable small language model, Phi-2, and an advanced visual encoder, SigLIP.
Discover how imp-v1-3b stands tall among its peers, not only outshining models of similar size but even surpassing the performance of the much larger LLaVA-7B model across a variety of multimodal benchmarks. This video is your ultimate guide to understanding and utilizing this powerful model, which is trained on the comprehensive LLaVA-v1.5 dataset.
I'll walk you through practical examples demonstrating the model's prowess in generating test cases for application screenshots, analysing stock charts, and providing insights into medical images, among other use cases. Whether you're a developer, researcher, or enthusiast in the fields of AI and machine learning, you'll find valuable insights and inspiration on how to leverage the power of imp-v1-3b for your projects.
Stay tuned as I also share a sneak peek into the model's architecture, the secret sauce behind its efficiency, and how you can get started with using the model weights in your own applications.
Don't forget to like, comment, and subscribe to my channel for more updates on this and other exciting developments in the world of Gen AI and machine learning. Your support helps me create more content like this. If you have questions or would like to see more use cases, feel free to drop a comment below. Let's embark on this learning adventure together and unlock the full potential of multimodal small language models!
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GitHub Code: github.com/AIA...
HF Repo: huggingface.co...
#multimodal #ai #llm

[@souvickdas5564]

How to build llm for native languages like Hindi Bengali, Tamil in low resource infrastructure! Is there any framework that supports this?

[@xgodo-com]

is it possible to train this model for grounding tasks? Such as object localization? Similar to what cogagent does but on my custom dataset

[@Ayushsingh019]

Great effort and could you please do a video on instructBLIP on custom dataset or medical dataset?

[@souvickdas5564]

I am having one problem with input context length. For example given a research paper, I am trying to find relevant papers from the vector db containing 2000 papers. How to fit the entire research paper as the input? Is there any way to solve the problem? Also the vector db is huge. Is there any way to manage it efficiently?

[@krishnagupta-ti8ch]

Ultimate bro, thanks for sharing ❤

[@AIAnytime]

🤝

[@user-iu4id3eh1x]

Fantastic thanks for sharing

[@user-me9gf5js8i]

Hi Bro..., Your Videos are very helpful . Could you pls make a video on implementing Multi modal Capture and Multi modal Rendering using Dialogflow CX.

[@muhammedajmalg6426]

great work, thanks for sharing!

[@AIAnytime]

Thanks for watching!

[@MukeshSharma-xq9nm]

@@AIAnytime Hey bro , a request RAG to use for excel data insights using any best open source LLM for data summarization and data understanding

[@user-do4oi4do1v]

hello sir, how to recognize overfitting while finetuning.And make that finetune model better and better. can u make a video.

[@kollaindrakotiekshith8896]

Make more on medical models

[@sam5598]

informative! can you do a video on attacks on tiny models?

[@xspydazx]

you can create a model from its config fileie model from config (it will not download the base but generate a new base model with random weights) so if you know the size of the embeddings and the size of the context window etc you can create a config file and instanciate aa new model , with 16 layers to make a 3b model ... but it will need training. (they train quite fast)

[@July_Nov-r5o]

can you create a powerful RAG based search and summarization for excel sheets , as i have found many videos for EAG but it works only best for PDF , Thanks any idea will be appreciated

[@SonGoku-pc7jl]

thanks, is fantastic :)

[@AIAnytime]

Glad you like it!

[@MrKB_SSJ2]

How can I fine tune a LLM such that it only outputs in json ?

[@saumyajaiswal6585]

Please please get a video with Llava where chatbot gives images along with text in answers which are present in pdf.Will it also work for tables in pdf better than PandasAI and Llama2?🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏

[@AngelWhite007]

Amazing

[@AIAnytime]

Thank you! Cheers!

[@ARkhan-xw8ud]

Any open source multilingual model

[@ibrahim-sf9od]

Coming soon brother

[@alejandraporter2348]

😈 *PromoSM*