I am currently engaged on a project that aims to give some insight to machine learning engineers about how their models perform on vast variety of mobile devices. It is starting to be a very popular practice to embed machine learning models within apps and use them without needing any api/network connection. You can see most examples especially for...

Aka Interface / OS / system agents and LAM. Seems like many new projects are popping up in this space, curious to get your thoughts on whether these will stick around, and AI agents will become the center of every user interaction going forward. Some examples: francedot/Interface-Agent: InterfaceAgent: a versatile framework designed to create system...

I found this paper very interesting. We kind of make same assumptions, that the authors are making, while using covnet for computer vision. I was wondering can we extend for computer vision use cases Abstract Traditional supervised learning aims to learn an unknown mapping by fitting a function to a set of input-output pairs with a fixed dimension....

I'm thinking about doing an AI startup and am wondering what the options are for young startups to get data labeled for training. I know Scale AI is out there, and so is Appen and Sama. But aren those too expensive for a startup? Do startups have options outside of things like Mechanical Turk? And is mechanical Turk any good? Any and all thoughts are...

I'm currently engaged in a project employing the pre-trained Phi-3-mini model (utilizing ollama for execution). In this project, I've integrated RAG with ChromaDB as the vector store, and I've incorporated a local embedding model named nomic-embed-text. My objective is to inform the Phi-3 model that it's operating for XYZ company and for a specific...

https://preview.redd.it/ws4d4qiczfyc1.png?width=639&format=png&auto=webp&s=241e5ceb3d40157deed93e78faaee4116f07b195 How does mean substraction operation project a vector onto a hyperplane and likewise scaling project it onto a hypersphere in Layer Normalization? submitted by /u/ApartmentEither4838 [link] [comments]