AI Tools & Frameworks Directory

A critical analysis of MRC's three counterintuitive design decisions, the networking mathematics that make them work, and what they mean for the rest of the AI infrastructure community. The post The Counterintuitive Networking Decisions Behind OpenAI’s 131,000-GPU Training Fabric appeared first on T...

Learn how to use Python itertools to build efficient and scalable time series features.

What happened when I migrated a 10K+ line project into an AI-native workflow The post I Let CodeSpeak Take Over My Repository appeared first on Towards Data Science.

Here are 5 small language models that hare one important trait: they all support structured tool calling in a compact, open-weight package.

There are some obvious signs that can instantly differentiate between regular and advanced AI users. One, for instance, is the use of voice AI for daily tasks. While majority users still toil away on their keyboard for the perfect prompt, a person proficient in the use of AI now simply speaks to it....

Discover how AI agents will revolutionize data science in 2026, and learn why they won't replace you but will make you a faster, smarter analyst.

Most <a href="https://www.

A 12-metric evaluation framework for production AI agents — covering retrieval, generation, agent behavior, and production health. Drawn from 100+ enterprise deployments. The post Building an Evaluation Harness for Production AI Agents: A 12-Metric Framework From 100+ Deployments appeared first on T...

A 4.5-hour journey from idea to working fitness app with LLM agents The post From Vibe Coding to Spec-Driven Development appeared first on Towards Data Science.

Hierarchical understanding and comparison of contracts, research papers, and more The post Proxy-Pointer Framework for Structure-Aware Enterprise Document Intelligence appeared first on Towards Data Science.

Large language models (LLMs) now power everything from customer service bots to autonomous coding agents.

Compiling and running C code with Emscripten and GitHub Codespaces — no local installation required. The post Your First WebAssembly Program and Web App (Written, Tested, and Deployed Entirely in the Web Browser) appeared first on Towards Data Science.

How to build sentiment-aware word representations from IMDb reviews using semantic learning, star ratings, and linear SVM classification The post Learning Word Vectors for Sentiment Analysis: A Python Reproduction appeared first on Towards Data Science.

This article discusses how to implement an infrastructure for measuring and controlling overly verbose LLM responses.

Learn how to build an AI-powered Learning Management System from scratch using Ollama, FastAPI, and React. A step-by-step guide for beginner and intermediate developers.

Learn FastAPI through templates, examples, guides, auth tools, microservices, full-stack starters, and machine learning projects.

Agentic loops in production can be synonymous with high costs, especially when it comes to both LLM and external application usage via APIs, where billing is often closely related to token usage.

A step-by-step guide to understanding distributed data, lazy logic, and your first DataFrame. The post PySpark for Beginners: Mastering the Basics appeared first on Towards Data Science.

A practitioner's argument that meeting summarizers fail in the same way regressions fail when you skip the part where you ask what the data can support. The post LLM Summarizers Skip the Identification Step appeared first on Towards Data Science.

From tokenisation to evaluation :  how modern language models actually work in practice The post The Must-Know Topics for an LLM Engineer appeared first on Towards Data Science.

Three weeks into testing, a learner told me my AI tutor gave her the wrong answer. Not obviously wrong — just outdated enough to mislead. That was the moment I realized something most RAG systems quietly ignore: they have no sense of time. My system retrieved the most similar document, not the most ...

Memory shapes how humans think and how AI agents act. Without it, an agent only responds to the current input; with it, it can keep context, recall past actions, and reuse useful knowledge. AI memory spans short-term, episodic, semantic, and long-term memory, each with different design trade-offs ar...

The end of model-centric thinking in data science The post From Data Scientist to AI Architect appeared first on Towards Data Science.

Standard prompt attacks are merely the beginning. A structured framework to map and mitigate the backend attack vectors of agentic workflows.  The post The AI Agent Security Surface: What Gets Exposed When You Add Tools and Memory appeared first on Towards Data Science.