RustGPT: My Journey Using Rust + HMTX for Web Dev

programming

Explore the dynamic world of web development with Rust and HTMX. Follow RustGPT's journey into leveraging Rust's robustness alongside HTMX's declarative interactivity to build a ChatGPT clone. Discover firsthand insights, practical implementations, and tips, unlocking the potential of this powerful duo in crafting seamless, high-performance web experiences.

Bitsletter #10: ML Alerts, Secure Web Cookies & Google's C++ Rival

newsletter

Effective ML alerting tools, secure cookie practices for web, groundbreaking language model compression techniques, and Carbon a potential C++ contender.

Bitsletter #9: The MLOps Journey, Cookie Management, and AI Research Highlights

newsletter

Dive into the significance of MLOps for ML engineers, explore data point optimization with RHO-LOSS, supercharge shell scripting with ZX, and stay updated with the latest in AI news!

Bitsletter #8: Enhancing Data Science Workflows & Lightweight Web Development

newsletter

Dive into enhancing ML experiment velocity, streamline your web app bundle size, explore the CogView2 text-to-image advancements, and get updates from the tech world.

Bitsletter #7: Accelerating ML Training & Diving into Geometry-aware 3D GANs

newsletter

Uncover techniques for streamlined ML data loading, delve into the world of TypeScript, and meet the efficient 3D GANs! Plus, browser extension building tips!

Bitsletter #6: Achieving Reproducible ML, Web Decoupling, and Hyperbolic Embeddings

newsletter

Unlock ML project best practices, explore decoupled web development with CMS, and discover the power of Poincare embeddings in hierarchical representation.

Bitsletter #5: ONNX Unleashed, Tackling Web Waterfalls & Vision Transformers

newsletter

Embrace ONNX's hardware access, enhance web UI via SSR, delve into Vision Transformers' success, and stay updated on PyAutoGUI and recent tech news.

Bitsletter #4: ML Debugging Secrets, Concurrent Promises, and Video Creation with React

newsletter

Delve into ML debugging with overfitting, accelerate JavaScript with Promise.all, explore zero-shot reasoning in language models, and animate with Remotion in React.

Bitsletter #3: Cluster Load Balancing, Incremental Web Updates, & Matrix Magic

newsletter

Explore balancing ML clusters, utilizing Incremental Static Regeneration for web, and groundbreaking matrix multiplication techniques in this edition.

Bitsletter #2: The Power of Data Centric ML & Web Vital Enhancements

newsletter

Dive into the benefits of a data-centric approach in ML, web vital metric improvement, the emerging data2vec research, and latest tools & news in tech.

Bitsletter #1: Hashing for ML Splits, Web App Performance, & DALL-E 2 Insights

newsletter

Discover smarter ways to split ML data, the rise of web edge computing, and how diffusion models are redefining image synthesis. Plus, PyTorch v1.11 and more!

3 Simple Ways To Handle Bigger Datasets In Pandas

data science

Before moving to Spark, here is 3 tips to scale Pandas to bigger datasets.

Introduction To TorchData: The Best Way To Load Data In PyTorch

machine learning

TorchData is a new library for better data loading in PyTorch. In this post I will show you how to use it and why it's better than Dataset and DataLoader.

1 line to cache slow functions and speed up your Python script

programming

Easily squeeze performance out of your scripts, with only slight modifications. Learn how to leverage caching easily in Python.

Perfect Template To Start Python Projects

programming

Python is great but lacks structure. I detail the issues and provide a GitHub template repository to solve the issue.