6 New Features of Grok Imagine 1.0 [MUST TRY]

6 New Features of Grok Imagine 1.0 [MUST TRY]

Since its announcement, Grok has been among the world’s leading productivity AI platforms. The reason – its quick and accurate results, handling long content, and the little intelligence that goes with all its answers. It is easy to see the sophistication of the AI ​​model in all output formats, be it text responses, or image … Read more

How to Build Multi-Layer LLM Security Filters to Protect Against Dynamic, Analytical, and Aggressive Attacks

How to Build Multi-Layer LLM Security Filters to Protect Against Dynamic, Analytical, and Aggressive Attacks

In this tutorial, we develop a robust, multi-layered security filter designed to protect large language models from dynamic and naming-specific attacks. We combine semantic similarity analysis, rule-based pattern detection, LLM-driven intent classification, and fuzzy detection to create a defense system that relies on a single point of failure. Also, we show how practical, production-style security … Read more

Google Releases Conductor: a context-driven Gemini CLI extension that stores information as Markdown and organizes agent workflows

Google Releases Conductor: a context-driven Gemini CLI extension that stores information as Markdown and organizes agent workflows

Google has launched Conductor, an open source preview extension for the Gemini CLI that turns AI code generation into a streamlined, context-driven workflow. Conductor stores product information, technical decisions, and work plans as a Markdown version within the repository, then calls Gemini agents from those files instead of ad hoc chat messages. From conversation-based coding … Read more

Fast injection attacks on LLMs

Fast injection attacks on LLMs

Large language models such as ChatGPT, Claude are made to follow user instructions. But following user instructions indiscriminately creates a big weakness. Attackers can enter hidden commands to control the behavior of these programs, a technique called rapid injection, such as SQL injection into a database. This can lead to dangerous or misleading results if … Read more

NVIDIA AI Brings Nemotron-3-Nano-30B to NVFP4 and Quantization Aware Distillation (QAD) for Virtual Reality

NVIDIA AI Brings Nemotron-3-Nano-30B to NVFP4 and Quantization Aware Distillation (QAD) for Virtual Reality

NVIDIA has been released Nemotron-Nano-3-30B-A3B-NVFP4a production test facility that uses a 30B parametric reasoning model in it 4 bit NVFP4 format while maintaining accuracy close to its BF16 base. The model includes a hybrid Mamba2 Transformer Professional Mix properties with Quantization Aware Distillation (QAD) The recipe is designed specifically for NVFP4 deployment. All in all, … Read more

Registration Fees and Key Skills

Registration Fees and Key Skills

Tvorra AI Video Generator is one of the latest AI video editing apps available on the Appstore. It works great for quick social clips, short form films, or anything creative you want to create on your phone. And while it’s clear for beginners, it packs advanced functions that can make your videos look professional. ⚡️ … Read more

How to Build Memory-Driven AIs with Short-Term, Long-Term, and Episodic Memory

How to Build Memory-Driven AIs with Short-Term, Long-Term, and Episodic Memory

def openai_chat(system: str, user: str) -> str: resp = client.chat.completions.create( model=OPENAI_MODEL, messages=[ {“role”: “system”, “content”: system}, {“role”: “user”, “content”: user}, ], temperature=0.3 ) return resp.choices[0].message.content def heuristic_responder(context: str, question: str) -> str: lessons = re.findall(r”Lessons=(.*)”, context) avoid = re.findall(r”Avoid=(.*)”, context) ltm_lines = [ln for ln in context.splitlines() if ln.startswith(“[LTM:”)] steps = [] if lessons: for … Read more

Coding Analysis and Integrated Learning Experiments Augmented with Different Gossipy and Privacy Processes

Coding Analysis and Integrated Learning Experiments Augmented with Different Gossipy and Privacy Processes

In this tutorial, we examine how clustered learning behaves when the central clustering server is removed and replaced with a peer-to-peer distributed gossip mechanism. We implement both centralized FedAvg and Decentralized Gossip Federated Learning from scratch and introduce client-side partition privacy by injecting limited noise into local model updates. Using controlled experiments on non-IID MNIST … Read more

Robbyant Open Sources LingBot World: A Real-Time World Model for Interactive Simulation and Integrated AI

Robbyant Open Sources LingBot World: A Real-Time World Model for Interactive Simulation and Integrated AI

Robbyant, the integrated AI unit within the Ant Group, has open-sourced LingBot-World, a global model that transforms video production into an interactive simulator for integrated agents, automated driving and games. The system is designed to provide controllable environments with high visual fidelity, dynamic flexibility and long time horizons, while remaining responsive enough for real-time control. … Read more