AI Tools & Frameworks Directory

The iOS development world has undergone a radical change. Only a few years back, implementing AI functionalities required costly cloud APIs or, at best, on-device processing with limited capabilities. The introduction of Apple’s Foundation Models framework heralds the availability of a 3 billion par...

I have spent the last several years watching enterprise collaboration tools get smarter. Join a video call today, and there’s a good chance five or six AI agents are running simultaneously: transcription, speaker identification, captions, summarization, task extraction. On the product side of it, ea...

We live in a world where answers are instant. AI copilots, search engines, short videos, and interactive courses can explain almost anything in minutes. Information is no longer scarce. What is scarce is depth, clarity, and the ability to connect ideas into sound decisions. That is where books still...

A deep dive on data transfer bottlenecks, their identification, and their resolution with the help of NVIDIA Nsight™ Systems – part 3 The post Optimizing Data Transfer in Distributed AI/ML Training Workloads appeared first on Towards Data Science.

Learn to leverage few-shot prompting to increase your LLMs performance The post Achieving 5x Agentic Coding Performance with Few-Shot Prompting appeared first on Towards Data Science.

The best self hosting platforms that help developers deploy, scale, and turn their projects into production ready applications while avoiding the complexity of becoming a full time DevOps engineer.

The future of artificial intelligence is here and to the developers, it is in the form of new tools that transform the way we code, create and solve problems. GLM-4.7 Flash, an open-source large language model by Zhipu AI, is the latest big entrant but not simply another version. This model brings g...

Let's zoom in on recent approaches that push AI-powered workflows to the next level The post TDS Newsletter: Beyond Prompt Engineering: The New Frontiers of LLM Optimization appeared first on Towards Data Science.

Open Notebook is an open-source, AI-powered platform designed to help users take, organize, and interact with notes while keeping full control over their data.

This article outlines 5 recent breakthroughs in GNNs that are worth watching in the year ahead: from integration with LLMs to interdisciplinary scientific discoveries.

Most forecasting work involves building custom models for each dataset — fit an ARIMA here, tune an LSTM there, wrestle with <a href="https://facebook.

How I built a self-healing pipeline that automatically fixes bad CSVs, schema changes, and weird delimiters. The post Building a Self-Healing Data Pipeline That Fixes Its Own Python Errors appeared first on Towards Data Science.

I have reiterated it time and again. But let me mention it here once more – NotebookLM is one of the most powerful AI tools present today. If you already know of it, the reasons for this statement are obvious to you. In case you are unaware, know that NotebookLM can change the way you […] The post 1...

I see AI image models getting better every month. Sharper outputs, more parameters, higher benchmark scores. So why would I, or anyone for that matter, get excited about a smaller AI image model? Well, because most image models still behave like offline tools. You prompt, you wait, you hope. There i...

Large language models are great. We all can agree to that. They’ve been a cornerstone of modern industry and are increasingly impacting more and more domains.  With constant upgrades and improvements to the architecture and capabilities of language models, one might think – That’s it! Alas… A recent...

Uncover how advanced hyperparameter search methods in machine learning work, and why they can find optimal model configurations faster.

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...