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AI systems are starting to move beyond simple responses. In many organisations, AI agents are now being tested to plan tasks, make decisions, and carry out actions with limited human input. It is no longer just about whether a model gives the right answer. It is about what happens when that model is allowed to […]
As AI agents take on more tasks, governance becomes a priority Read More »
Writing fast GPU code is one of the most grueling specializations in machine learning engineering. Researchers from RightNow AI want to automate it entirely. The RightNow AI research team has released AutoKernel, an open-source framework that applies an autonomous LLM agent loop to GPU kernel optimization for arbitrary PyTorch models. The approach is straightforward: give
In this tutorial, we build and run an advanced pipeline for Netflix’s VOID model. We set up the environment, install all required dependencies, clone the repository, download the official base model and VOID checkpoint, and prepare the sample inputs needed for video object removal. We also make the workflow more practical by allowing secure terminal-style
There’s a particular kind of tedium that every AI engineer knows intimately: the prompt-tuning loop. You write a system prompt, run your agent against a benchmark, read the failure traces, tweak the prompt, add a tool, rerun. Repeat this a few dozen times and you might move the needle. It’s grunt work dressed up in
Fashion has always been about anticipation, determining what one would prefer to wear before they know it themselves. It’s meant in terms of intuition, presentation, experience, and the “good eye”. Today, it can be conveyed through algorithms, neural networks, and machine learning. Artificial Intelligence is no longer at the dregs, but very much at the
Fine-tuning large language models (LLMs) has become one of the most important steps in adapting foundation models to domain-specific tasks such as customer support, code generation, legal analysis, healthcare assistants, and enterprise copilots. While full-model training remains expensive, open-source libraries now make it possible to fine-tune models efficiently on modest hardware using techniques like LoRA,
In this tutorial, we explore the full capabilities of Z.AI’s GLM-5 model and build a complete understanding of how to use it for real-world, agentic applications. We start from the fundamentals by setting up the environment using the Z.AI SDK and its OpenAI-compatible interface, and then progressively move on to advanced features such as streaming
Designing algorithms for Multi-Agent Reinforcement Learning (MARL) in imperfect-information games — scenarios where players act sequentially and cannot see each other’s private information, like poker — has historically relied on manual iteration. Researchers identify weighting schemes, discounting rules, and equilibrium solvers through intuition and trial-and-error. Google DeepMind researchers proposes AlphaEvolve, an LLM-powered evolutionary coding agent
For more than a month, security practitioners have been warning about the perils of using OpenClaw, the viral AI agentic tool that has taken the development community by storm. A recently fixed vulnerability provides an object lesson for why. OpenClaw, which was introduced in November and now boasts 347,000 stars on Github, by design takes
OpenClaw gives users yet another reason to be freaked out about security Read More »
Data and image annotation outsourcing to India has become the foundational engine for the global robotics industry, providing high-precision LiDAR, 3D point cloud, and sensor fusion labeling. By leveraging the top 1% of Indian BPOs, robotics companies can access specialized engineering talent to train autonomous systems with 99.9% accuracy. Cynergy BPO provides supplier sourcing and
