AI Tools & Frameworks Directory

Why retrieval that looks excellent on paper can still behave like noise in real RAG and agent workflows The post What the Bits-over-Random Metric Changed in How I Think About RAG and Agents appeared first on Towards Data Science.

Learn to build an AI data analyst with Python: analyzes data, detects anomalies, and generates predictions using local LLMs.

Traditional data pipeline development often requires extensive procedural code to define how data should be transformed and moved between stages. The declarative approach flips this paradigm by allowing data engineers to specify what the end result should be rather than prescribing every step of how...

My last article was about implementing Like-for-Like (L4L) for Stores. After discussing my solution with my peers and clients, I encountered an interesting issue that brought additional requirements to my first solution. This is what I want to discuss here. The post Following Up on Like-for-Like for...

My friend who is a developer once asked an LLM to generate documentation for a payment API.

My main complaint with AI solutions is that they are largely dependent on my presence for any task. Even with agentic AI now in the mix, complete automation of any complex process still seems like a myth. Tools like n8n and make.com need a considerable setup time and do not really function as conven...

Understanding how to set up human-in-the-loop (HITL) agentic workflows in LangGraph The post Building Human-In-The-Loop Agentic Workflows appeared first on Towards Data Science.

Data Leakage, Real-World Models, and the Path to Production AI in Healthcare The post My Models Failed. That’s How I Became a Better Data Scientist. appeared first on Towards Data Science.

Now that we know AI is inevitably a part of our workflow, the more relevant question today is not “should I use AI?”, but “how to use AI?”. With the AI tools market more crowded than ever, each passing week sees a new assistant, generator, or automation. The struggle then is of choice from a […] The...

How AI agents, data foundations, and human-centered analytics are reshaping the future of decision-making The post From Dashboards to Decisions: Rethinking Data & Analytics in the Age of AI  appeared first on Towards Data Science.

We’ve become remarkably good at building sophisticated agent systems, but we haven’t developed the same rigor around proving they work. The post Production-Ready LLM Agents: A Comprehensive Framework for Offline Evaluation appeared first on Towards Data Science.

For different learning goals and career paths, choosing the right certification can get confusing. Some people want analytics. Others want ads. Some care about AI. And many just want something credible to add to their resume. This list is built with that in mind. A set of free Google certificate cou...

Learn how to set up Nanobot, connect it to WhatsApp, and power it with OpenAI GPT-5.3-Codex for a practical, always-on AI agent.

If you look at the architecture diagram of almost any AI startup today, you will see a large language model (LLM) connected to a vector store.

Artificial intelligence is rapidly evolving. New models emerge nearly every day, with each one attempting to be the best. In this sea of similar models, we see something new every now and then. One of such models is the new Mistral Small 4. It is an innovative AI model that is not only going to […] ...

Master data types, index alignment, and defensive Pandas practices to prevent silent bugs in real data pipelines. The post 4 Pandas Concepts That Quietly Break Your Data Pipelines appeared first on Towards Data Science.

Your ML model predicts perfectly but recommends wrong actions. Learn the 5-question diagnostic, method comparison matrix, and Python workflow to fix it with causal inference. The post Causal Inference Is Eating Machine Learning appeared first on Towards Data Science.

This Article asks what happens next. The model has encoded its knowledge of fraud as symbolic rules. V14 below a threshold means fraud. What happens when that relationship starts to change? Can the rules act as a canary? In other words: can neuro-symbolic concept drift monitoring work at inference t...

Learn five practical ways to make OpenAI Codex more agentic, reliable, and useful for real software engineering workflows.

Rapid prototyping with Replit, AI agents, and minimal manual coding The post I Built a Podcast Clipping App in One Weekend Using Vibe Coding appeared first on Towards Data Science.

Memory is one of the most overlooked parts of agentic system design.

A hands-on guide to implementing CFD with NumPy, from discretization to airflow simulation around a bird's wing The post Building a Navier-Stokes Solver in Python from Scratch: Simulating Airflow appeared first on Towards Data Science.

Most data platforms don’t break overnight; they grow into complexity, query by query. Over time, business logic spreads across SQL scripts, dashboards, and scheduled jobs until the system becomes a “SQL jungle.” This article explores how that happens and how to bring structure back. The post Escapin...

Piecewise linear approximations are a practical way to handle nonlinear constrained models using LP/MIP solvers like Gurobi. The post A Gentle Introduction to Nonlinear Constrained Optimization with Piecewise Linear Approximations appeared first on Towards Data Science.