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...

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...

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.

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.

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...

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...

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

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.

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.

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...