In this tutorial, we build a hierarchical planner agent using an open-source instruct model. We design a structured multi-agent architecture comprising a planner agent, an executor agent, and an ...
In building LLM applications, enterprises often have to create very long system prompts to adjust the model’s behavior for their applications. These prompts contain company knowledge, preferences, and ...
The Independent National Electoral Commission (INEC) has identified multi-level collation of results as the greatest threat to Nigeria’s electoral process. INEC Chairman, Prof. Joash Amupitan, said ...
With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale. High inference latency and ...
Generative AI firm Anthropic said three Chinese AI companies have generated millions of queries with the Claude large language model (LLM) in order to copy the model – a technique called ‘model ...
The AI company claims DeepSeek, Moonshot, and MiniMax used fraudulent accounts and proxy services to extract Claude’s capabilities at scale, even as experts point out that the industry itself relies ...
Abstract: The Industrial Internet of Things (IIoT) has accelerated the adoption of multi-UAV systems in applications such as urban inspection and emergency response. However, effective path planning ...
Google detected and blocked a campaign involving more than 100,000 prompts that it claimed were designed to copy the proprietary reasoning capabilities of its Gemini AI model, according to a quarterly ...
On Thursday, Google announced that “commercially motivated” actors have attempted to clone knowledge from its Gemini AI chatbot by simply prompting it. One adversarial session reportedly prompted the ...
State-backed hackers are using Google's Gemini AI model to support all stages of an attack, from reconnaissance to post-compromise actions. Bad actors from China (APT31, Temp.HEX), Iran (APT42), North ...
When enterprises fine-tune LLMs for new tasks, they risk breaking everything the models already know. This forces companies to maintain separate models for every skill. Researchers at MIT, the ...