AI Tools & Frameworks Directory

Google recently introduced Gemini Embedding 2, its first natively multimodal embedding model. This is an important step forward because it brings text, images, video, audio, and documents into a single shared embedding space. Instead of working with separate models for each type of data, developers ...

Looking to build autonomous AI agent systems? Here are the frameworks that will help you orchestrate agents effectively.

In this guide, you learn how to install and run PersonaPlex locally step by step, so you can experience real time, interruptible speech to speech AI directly on your own machine.

Discover five AI tools that make exploring and understanding large codebases faster and easier.

For different learning styles, goals, and comfort levels, finding a SQL course that matches how you learn is hard. Some learners want theory first. Others want to run queries immediately. And many learners just want proof of effort at the end in the form of a certificate. This list is built with tha...

Claude Flow is an open-source orchestration framework designed to run multiple Claude agents in coordinated workflows. Instead of relying on a single LLM prompt chain, it allows developers to build systems where specialized agents collaborate, share memory, and divide complex tasks into manageable s...

Interested in becoming an LLM engineer? Here's a list of Python libraries you'll find essential for your work.

Learn how Google Stax tests AI models and prompts against your own criteria. Compare Gemini vs GPT with custom evaluators. Step-by-step guide for beginners

Analyzing a set of objective facts about language models role and evolution, with some thoughts on the following question: are they the new commodity of the decade we can no longer live without?

Having the right certificate can make all the difference. But with so many out there, getting the right one isn’t easy. That’s where Anthropic Academy comes in. Anthropic, the company behind the Claude AI models, has introduced a learning platform through its Skilljar academy that offers structured ...

Learn how people are turning AI tools into real income by building practical systems, selling outcomes, and creating niche products that businesses are willing to pay for.

AI development is accelerating fast. Advances in hardware, software optimization, and better datasets now allow training runs that once took weeks to finish in hours. A recent update from AI researcher Andrej Karpathy shows this shift clearly: the Nanochat open-source project can now train a GPT-2 m...

OpenAI is out with a major update, building on its GPT-5 series with the all-new GPT-5.4. Introduced as GPT-5.4 Thinking, the model will also come with a GPT-5.4 Pro version for those seeking “maximum performance” on complicated tasks. Even the base version comes with a plethora of improvements over...

Learn these five Python decorators based on diverse libraries, that take particular significance when used in the context of LLM-based applications.

You don’t always go for a benchmark score to see which AI model fits your needs. Even the highest ranking models sometimes seem to miss the essence of a conversation entirely. What matters then is how fluid and helpful your conversations with AI are. Taking a step in this direction, OpenAI has now i...

Whenever I am to suggest a new AI tool to someone who is just starting out, there is one name I know can bring them unprecedented value. NotebookLM, the famous AI tool by Google, is just one-too-many solutions wrapped into a neat package of an “AI research tool.” It can summarise your notes, find yo...

Want to move beyond drawing boxes and arrows and actually understand how scalable systems are built? These GitHub repositories break down the concepts, patterns, and real-world trade-offs that make great system design possible.

Instruction-based image editing models are impressive at following prompts. But when edits involve physical interactions, they often fail to respect real-world laws. In their paper “From Statics to Dynamics: Physics-Aware Image Editing with Latent Transition Priors,” the authors introduce PhysicEdit...

Skills are what make OpenClaw more than a local assistant, and these are the most popular ones worth installing today.

This article guide you through an example use case to turn a PRD into a functioning software prototype using Google Antigravity.

An AI agent combines a large language model for reasoning, access to tools or APIs for action, memory to retain context and a control loop to decide what happens next.

Autonomous AI agents are easily among the most efficient uses of AI to date. And once you begin to put it to work, OpenClaw shines out as one of the leading enablers of AI automation. If you’ve figured that out by now, here is a list of OpenClaw prompts that will help you do more […] The post 20 Ope...

Build faster Python applications by mastering async programming and learning how to handle I/O bound workloads efficiently with real world examples.

Great LLMs need great data. Discover the pipelines, tools, and RAG architecture shaping the future of AI-ready data engineering