Grok Voice Think Fast 1.0: Build Voice AI Agents That Actually Think
Voice assistants that engage in back-and-forth communication are something you’ve likely experienced. But a voice assistant that provides rational, uninterrupted exchanges via spoken dialogue? That’s what xAI delivered with their Grok Voice Think Fast 1.0 in April 2026 and instantly, it became the t...
TurboQuant has recently been launched by Google as a novel algorithmic suite and library for applying advanced quantization and compression to large language models (LLMs) and vector search engines — an indispensable element of RAG systems.
5 Powerful Python Decorators to Build Clean AI Code
This article outlines five particularly useful Python decorators that, based on developers' experience, haven proven themselves effective to make AI code cleaner.
4 YAML Files Instead of PySpark: How We Let Analysts Build Data Pipelines Without Engineers
How we replaced Python pipelines with dlt, dbt, and Trino — and cut delivery time from weeks to one day.
The post 4 YAML Files Instead of PySpark: How We Let Analysts Build Data Pipelines Without Engineers appeared first on Towards Data Science.
Compressing LSTM Models for Retail Edge Deployment: A Practical Comparison
There can be some practical constraints when it comes to deploying the AI models for retail environments. Retail environments can include store-level systems, edge devices, and budget conscious setup, especially for small to medium-sized retail companies. One such major use case is demand forecastin...
Self-Hosted LLMs in the Real World: Limits, Workarounds, and Hard Lessons
This article is about what actually happens when you take self-hosted LLMs seriously: not the benchmarks, not the hype, but the real operational friction most tutorials skip entirely.
System Design Series: Apache Flink from 10,000 Feet, and Building a Flink-powered Recommendation Engine
A deep dive into how Apache Flink works, why it exists, and learning it while building a real-time recommendation engine
The post System Design Series: Apache Flink from 10,000 Feet, and Building a Flink-powered Recommendation Engine appeared first on Towards Data Science.
The Next Frontier of AI in Production Is Chaos Engineering
Blast-radius control tells you how much to break. Intent tells you what breaking it will teach. Only one of these has mature tooling.
The post The Next Frontier of AI in Production Is Chaos Engineering appeared first on Towards Data Science.
PyTorch NaNs Are Silent Killers — So I Built a 3ms Hook to Catch Them at the Exact Layer
NaNs don’t crash your training — they quietly destroy it.
After losing hours to a silent failure in a ResNet training run, I built a lightweight detector that pinpoints the exact layer and batch where things break. Using forward hooks and gradient checks, it catches issues early with minimal overhea...
How Spreadsheets Quietly Cost Supply Chains Millions
A simulation of how a single forecast change moves through five planning teams, and why most retailers lose money in the gap between Sales and Stores.
The post How Spreadsheets Quietly Cost Supply Chains Millions appeared first on Towards Data Science.
Comparing Explicit Measures to Calculation Groups in Tabular Models
With the advent of UDFs and their combination with calculation groups, I see a lot of discussion about not creating explicit measures but instead offering calculation groups to report creators.
The post Comparing Explicit Measures to Calculation Groups in Tabular Models appeared first on Towards Dat...
Google Deep Research Max: Build Autonomous AI Research Agents in Minutes
Google just changed how developers do research. On April 21, 2026, they launched Deep Research Max. It runs on Gemini 3.1 Pro and is not just another chatbot upgrade. This is an autonomous AI research agent. It plans, searches, reads, reasons, and writes, all from a single API call. By the end, you ...
I Reduced My Pandas Runtime by 95% — Here’s What I Was Doing Wrong
Most slow Pandas code "works", until it doesn't. Learn how to spot hidden bottlenecks, avoid costly row-wise operations, and know when Pandas is no longer enough.
The post I Reduced My Pandas Runtime by 95% — Here’s What I Was Doing Wrong appeared first on Towards Data Science.
Cursor V3 Explained: The AI Coding Agent That’s Replacing Traditional IDEs in 2026
In 2026, AI-powered coding tools began revolutionizing software development, with Cursor v3 emerging as a leading example. Unlike traditional development environments, Cursor v3 offers a new way for developers to interact with their code by utilizing AI agents that assist in coding tasks. Cursor v3 ...
A local, zero-cost project that cleans, structures, and summarizes your reading automatically
The post I Built an AI Pipeline for Kindle Highlights appeared first on Towards Data Science.
DeepSeek-V4: The Most Powerful Open-Source Model Ever
The latest set of open-source models from DeepSeek are here. While the industry anticipated the dominance of “closed” iterations like GPT-5.5, the arrival of DeepSeek-V4 has ticked the dominance in the favour of open-source AI. By combining a 1.6 trillion parameter MoE architecture with a massive 1 ...
OpenAI is on a roll! While the company had everyone going gaga over its new image generation model, the ChatGPT Images 2.0, it decided now is not the time to stop. And lo and behold, out comes another banger from its offices, and mind you, this is the bigger one. The new version of its […]
The post ...
A practical pipeline for classifying messy free-text data into meaningful categories using a locally hosted LLM, no labeled training data required.
The post Using a Local LLM as a Zero-Shot Classifier appeared first on Towards Data Science.