Skip to Main Content
Talk Intermediate

Concept Models to Edge AI: My OSS Options

Proposal status is Rejected
Session Description

In this talk - I will discuss two of my projects (and some others) that can be used to build alternative AI systems -

concepts models help in building faster and small local inference.

Edge AI on device (Raspberry Pi for demonstration) - will sow how you can run tflite models on edge.

Both these are meant to bring AI capability from BigTech to your own GPUs and devices.

My slides:

https://docs.google.com/presentation/d/1r_KgnJIg7Z1RzV09rdfVYq5QIJ4Aem1L6jJZtafaQLI/edit?usp=sharing

My code that I will demonstrate (I wwill bring my raspberry pi and show how the sentiment analysiss works on a device through local small models):

https://github.com/virajsharma2000/v-embedded-ai-rpi

https://github.com/virajsharma2000/v-lcm-demo

I will also talk about my AI journey as a young coder and some future tech I am working on.

I have given this speech very recently at a university in delhi - please go through my webpage for this one and other speeches I have given.

Thanks

Key Takeaways

  1. What are some alternative open source AI models and architectures that can run on local GPUs

  2. How can we use Non Bigtech (OpenAI, Gemini) etc through open source models on own GPUs and devices

References

https://github.com/virajsharma2000/
https://sharmaviraj.com
https://ai.meta.com/research/publications/large-concept-models-language-modeling-in-a-sentence-representation-space/
https://www.raspberrypi.com/

Speakers

Viraj Sharma
Viraj Sharma Student | Presidium School Indirapuram Delhi NCR

I’m Viraj Sharma, a passionate programmer interested in Python, AI, and computer vision. I am studying in class 9, presidium school indirapuram delhi. As an active python community member, I enjoy learning from experienced developers and sharing insights. I have worked with OpenCV, TensorFlow, and Streamlit, exploring computer vision, automation, and AI. I love solving problems, building projects, and understanding how technology impacts the real world. I actively participate in tech meetups, hackathons, and open-source communities, gaining hands-on experience with deep learning, NLP, and data science. I've also given speeches at PyDelhi, pyconfererence bangalore, pycon lithuania, foss events, Build with AI google developer program ...discussing Python frameworks and AI applications.