AI Tools & Frameworks Directory

How I used open-source models to explore new frontiers in efficient code generation, using my MacBook and local LLMs. The post Using Local LLMs to Discover High-Performance Algorithms appeared first on Towards Data Science.

I have been building a payment platform using vibe coding, and I do not have a frontend background.

Why modeling SKUs as a network reveals what traditional forecasts miss The post Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting appeared first on Towards Data Science.

Gemini 3 and NotebookLM are two of my favorite tools from the Google suite. I use them often for learning, work, and even for breaking down complex ideas in a simple way. But this time, I wanted to do something purely fun. Lately, I’ve been seeing AI-generated comics all over social media. From stor...

Just as you wouldn’t teach a child to ride a bike on a busy highway, AI agents need controlled environments to learn and improve. The environment shapes how an agent perceives the world, learns from experience, and makes decisions, whether it’s a self-driving car or a chatbot. Understanding these en...

How to use n8n with multimodal AI and optimisation tools to help companies with low data maturity accelerate their digital transformation. The post The Hidden Opportunity in AI Workflow Automation with n8n for Low-Tech Companies appeared first on Towards Data Science.

In recent times, if you have been delving into the development of AI, then you may have come across the term ‘agent frameworks.’ Today, we are going to discuss one of them, the Strands Agents. This is a tool that is altering the way developers create intelligent systems. But if you are a beginner, y...

Imagine a flock of birds in flight. There’s no leader. No central command. Each bird aligns with its neighbors—matching direction, adjusting speed, maintaining coherence through purely local coordination. The result is global order emerging from local consistency. Now imagine one bird flying with th...

Images, containers, volumes, and networks... Docker terms often sound complex to beginners. This quick guide explains Docker essentials to get started.

Why your final LLM layer is OOMing and how to fix it with a custom Triton kernel. The post Cutting LLM Memory by 84%: A Deep Dive into Fused Kernels appeared first on Towards Data Science.

Large open-source language models are now widely accessible, and this article compares leading AI API providers on performance, pricing, latency, and real-world reliability to help you choose the right option.

Google Antigravity marks the beginning of the "agent-first" era, It isn't just a Copilot, it’s a platform where you stop being the typist and start being the architect.

Designing a centralized system to track daily habits and long-term goals The post The 2026 Goal Tracker: How I Built a Data-Driven Vision Board Using Python, Streamlit, and Neon appeared first on Towards Data Science.

This list focuses on tools that streamline real workflows across data, operations, and content, not flashy demos or brittle bots. Each one earns its place by reducing manual effort while keeping humans in the loop where it actually matters.

If you are up to date with the recent developments of AI and LLMs, you probably have realized that a major part of the progress is still through building larger models or better computation routing. Well, what if there is one more alternate route? Along came Engram! A revolutionary method of DeepSee...

Data science hiring in 2026 looks nothing like it did three years ago. Earlier, data science roles mostly required you to analyse spreadsheets at length. But come 2026, and now companies are looking for builders of machine learning systems, GenAI pipelines, and production-grade models that have a re...

n8n has set out itself as one of the best low-code AI development platforms. The characteristic drag-and-drop interface of n8n has won the hearts of many coders and non-coders alike. The low entry barrier and high skill ceiling makes it the perfect tool for executing ideas on the go.  But there is s...

Machine learning practitioners encounter three persistent challenges that can undermine model performance: overfitting, class imbalance, and feature scaling issues.

A quick guide to the best code sandboxes for AI agents, so your LLM can build, test, and debug safely without touching your production infrastructure.

Seeded topic modeling, integration with LLMs, and training on summarized data are the fresh parts of the NLP toolkit. The post Topic Modeling Techniques for 2026: Seeded Modeling, LLM Integration, and Data Summaries appeared first on Towards Data Science.

LLMs like ChatGPT, Claude, and Gemini, are often considered intelligent because they seem to recall past conversations. The model acts as if it got the point, even after you made a follow-up question. This is where LLM memory comes in handy. It allows a chatbot to go back to the point of what “it” o...

If you are searching for free LLM APIs, chances are you already want to build something with AI. A chatbot. A coding assistant. A data analysis workflow. Or a quick prototype without burning money on infrastructure. The good news is that you no longer need paid subscriptions or complex model hosting...

The how, why, what and where of Amazon’s LLM access layer The post An introduction to AWS Bedrock appeared first on Towards Data Science.

Dataflows were (rightly?) considered "the slowest and least performant option" for ingesting data into Power BI/Microsoft Fabric. However, things are changing rapidly and the latest Dataflow enhancements changes how we play the game The post From ‘Dataslows’ to Dataflows: The Gen2 Performance Revolu...