In this tutorial, we explore how an intelligent agent can gradually form procedural memory by learning reusable skills directly from its interactions with an environment. We design a minimal yet powerful framework in which skills behave like neural modules: they store action sequences, carry ...

You spend hours storyboarding, filming, and editing your latest TikTok. You hit “post” and linger in the app, waiting for the likes to roll in. But…

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. The State of AI: A vision of the world in 2030   There are huge gulfs of opinion when it comes to predicting the near-future impacts of generative AI. In one ...

Large Language Models (LLMs) are the heart of Agentic systems and RAG systems. And building with LLMs is exciting until the scale makes them expensive. There is always a tradeoff for cost vs quality, but in this article we will explore the 10 best ways according to me that can slash costs for the ...

I get it, we all want the power of AI, and not just in specific chat windows or apps. We want it right on the platform that we do most of our work. For the majority of professionals, that is their web browser. And since Google’s Chrome is the one preferred by most, here, I The post Top 10 Agentic ...

Zhipu AI has open sourced the GLM-4.6V series as a pair of vision language models that treat images, video and tools as first class inputs for agents, not as afterthoughts bolted on top of text. Model lineup and context length The series has 2 models. GLM-4.6V is a 106B parameter foundation model ...

Researchers have uncovered an unexpected flaw in one of the most common techniques used to build smaller, cheaper AI models: Distillation. When a “student” model is trained on filtered outputs from a larger “teacher,” it can still inherit the teacher’s quirks and unsafe behaviors, even when those ...

AI agents are LLM-powered systems that act autonomously to solve complex tasks. Unlike simple chatbots, agents plan steps, call external tools, and use memory to keep context. For example, an agent can analyse data sources and generate a multi-step plan, whereas a basic LLM app can only answer a ...

As AI models grow in complexity and hardware evolves to meet the demand, the software layer connecting the two must also adapt. We recently sat down with Stephen Jones, a Distinguished Engineer at NVIDIA and one of the original architects of CUDA. Jones, whose background spans from fluid mechanics ...

Jina AI has released Jina-VLM, a 2.4B parameter vision language model that targets multilingual visual question answering and document understanding on constrained hardware. The model couples a SigLIP2 vision encoder with a Qwen3 language backbone and uses an attention pooling connector to reduce ...