AI Tools & Frameworks Directory

Claude can now write its own harness on the fly, custom-built for the task at hand. The post A Harness for Every Task: Putting a Team of Claudes on One Job appeared first on Towards Data Science.

Local models in 2026 are good enough. For the tasks Claude Code handles daily: code completion, refactoring, debugging, codebase explanation; a well-chosen quantized model running locally covers the vast majority of real use cases at zero per-token cost and with no rate limits.

Transitioning from writing local experimental scripts to building scalable, production-grade AI systems requires a shift in how we write Python.

Gemini models have always kept up with AI advancements. From text-based chatbots in 2023, Gemini has evolved into a multimodal system capable of understanding and generating text, audio, images… and now videos.  AI video generation is no longer a standalone tool. With Gemini Omni, video creation bec...

The true bottleneck was never the analysis. The post BI Is Dead, Long Live BI appeared first on Towards Data Science.

Take the next step to building real workflows with Spark on your laptop The post PySpark for Beginners: Beyond the Basics appeared first on Towards Data Science.

Build the five components every feature store needs, then see where AI changes the design.

Large language models usually generate text one token at a time. While this autoregressive approach delivers strong quality and instruction following, it can be inefficient for local users because GPUs often spend more time moving weights from memory than doing parallel compute. Google DeepMind’s Di...

Text classification typically boils down to scenarios where a product review is "positive" or "negative", or a customer inquiry belongs to one category or another.

This article builds a full local agentic programming stack using Ollama, Gemma 4, and Claude Code.

A quick guide to separating Physical AI from world models, embodied AI, physics AI, and digital twins The post Physical AI: What It Is and What It Is Not appeared first on Towards Data Science.

Most browser AI tutorials cover text because it is a natural starting point, but the applications people actually want to build are rarely text-only.

Remember Claude Mythos Preview? Yes, the very AI model that Anthropic had announced earlier this year, one that sent even the governments around the world into a frenzy. The model that found security loopholes in almost any network it was tested on, and was so powerful that had to be kept limited wi...

Stop re-computing the same context. Learn how to build a C++ runtime with copy-on-fork KV snapshots to eliminate redundant LLM prefills in multi-agent pipelines. The post Prefill Once, Fan Out: KV Snapshot Sharing for Multi-Agent LLM Pipelines appeared first on Towards Data Science.

Explore the best Python web development repositories for building APIs, full-stack web apps, dashboards, machine learning demos, internal tools, and interactive Python-based user interfaces.

Follow this framework to build a project that will impress hiring managers The post The Exact ML Project I’d Build to Get Hired in 2026 appeared first on Towards Data Science.

Building an ML football forecaster in R The post Can Machine Learning Predict the World Cup? appeared first on Towards Data Science.

This is how LLMs are used today to increase precision in recommendation systems The post Increase Recommendation Systems’ Precision with LLMs, Using Python appeared first on Towards Data Science.

We have all been in an emergency where every second matters. Someone’s life is at risk but there you’re panicking. Now, imagine in this situation of distress when a helpline asks you to press numbers on your keypad to connect with the right agent? Pure chaos, right? Here, we just need someone to lis...

The clipping bug has lived in every 3D simulation pipeline for three decades. Here is exactly why it happens, how the math breaks, and how swapping one equation fixes it; as well as the python code to see it for yourself! The post The Polynomial That Fixed 30 Years of Cloth Simulation appeared first...

In this article, we will explore five critical Python concepts that every AI engineer must know to build scalable, secure, and robust systems.

Modern AI applications rely on understanding meaning rather than matching keywords. As large language models, semantic search, and RAG systems have become mainstream, vector databases have emerged as critical infrastructure for storing and retrieving high-dimensional embeddings at scale. Choosing th...

An introduction to multi-agent systems The post Building a Multi-Agent System in Python appeared first on Towards Data Science.

My approach to guiding the choice between Eppo and Statsig, and the lessons learned The post Picking an Experimentation Platform: A Retrospective appeared first on Towards Data Science.