Newsletter of Rishit Dagli - Issue #8

Newsletter of Rishit Dagli - Issue #8

Hey there, this is the eighth edition of this newsletter where I share new things I find interesting in technology and AI (paper summaries, open-source, more) straight to your inbox! Feel free to submit any links for the next issue.

My updates on Open source 🧑‍💻

It is always great to be recognized for your contributions to a project and I recently became a Kubernetes org member for my contributions to SIG API Machinery (Python Client) and SIG Docs.

My writings 📝

In this article, I introduce you to Kubeflow Notebooks, a way to run development environments inside your Kubernetes cluster, as well as how you could extend the default capabilities of Kubeflow Notebooks for your own use cases and how it works under the hood.

Great reads from the community📖

This document aims to be a self-contained, mathematically precise overview of transformer architectures and algorithms. It covers what transformers are, how they are trained, what they are used for, their key architectural components, and a preview of the most prominent models.

There were a couple of threads this week on why Test Driven Development, or TDD, isn’t more widely used by programmers. This article talks about TDD, designs, why it isn’t used everywhere, and more.

This paper motivates AEVB from the classic Expectation Maximization (EM) algorithm, as opposed to from deterministic auto-encoders, and shows the connection between EM and AEVB.

Divya Mohan shares her journey from a small edit to the Kubernetes docs, to co-chairing documentation for the Kubernetes project!

This paper generalizes continuous-time diffusion models to arbitrary Riemannian manifolds and derives a variational framework for likelihood estimation and proposes new methods for computing the Riemannian divergence which is needed in the likelihood estimation.

We’re on a journey to advance and democratize artificial intelligence through open source and open science. With this blog post, HuggingFace offers LLM.int8() integration for all Hugging Face models which they explain.

Rapid advances in neural implicit representation are opening up exciting new possibilities for augmented reality experiences. This computer vision technique can seamlessly combine real and virtual objects in augmented reality.

Open-source from community 👏

Industry-strength Computer Vision workflows with Keras.

Veloren is a multiplayer voxel RPG written in Rust. It is inspired by games such as Cube World, Legend of Zelda: Breath of the Wild.

That’s all, hope you liked this. Stay tuned for more updates.

Regards,

Rishit Dagli

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