Open post Agentic Workflow

Agentic Workflows in AI: How Autonomous Agents are Transforming Task Automation

In the evolving landscape of artificial intelligence, agentic workflows stand out as a major leap forward, empowering AI systems to tackle complex tasks autonomously. From customer service to content generation, agentic workflows are set to reshape how industries utilize AI for smarter and more reliable automation. But what exactly are agentic workflows, and why are...

Open post ferret

Ferret-UI 2: Towards Universal UI Understanding for LLMs

Ferret-UI 2 is a multimodal large language model (MLLM) designed to interpret, navigate, and interact with UIs on iPhone, Android, iPad, Web, and AppleTV. It enhances UI comprehension, supports high-resolution perception, and tackles complex, user-centered tasks across these diverse platforms. Core Architecture: Multimodal Integration The foundational architecture of Ferret-UI 2 integrates a CLIP ViT-L/14 visual...

Open post HAIR

HAIR: The Evolution from HR to Human-AI Resource Management

I've observed a fair amount of shifts in business and organisational transformations over the past two decades. However, I'm witnessing what might be the most significant transformation yet: the emergence of HAIR (Human-Artificial Intelligence Resources). This isn't just an evolution of traditional HR—it's a fundamental reimagining of how organizations develop, deploy, and optimize their human...

Open post Relationships

Sex machina: in the wild west world of human-AI relationships, the lonely and vulnerable are most at risk

Chris excitedly posts family pictures from his trip to France. Brimming with joy, he starts gushing about his wife: “A bonus picture of my cutie … I’m so happy to see mother and children together. Ruby dressed them so cute too.” He continues: “Ruby and I visited the pumpkin patch with the babies. I know...

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Cognitive Prompting: Unlocking Structured Thinking in AI

Artificial Intelligence (AI) is evolving, especially with the introduction of large language models (LLMs) capable of solving tasks that require complex reasoning. However, while LLMs excel at generating coherent text and processing large amounts of information, they often struggle to tackle multi-step reasoning tasks that come naturally to humans. Enter cognitive prompting, a structured approach...

Open post CAMPHOR

LLMs in Your Pocket: An Overview of CAMPHOR by Apple

While Large Language Models (LLMs) have demonstrated remarkable capabilities in understanding and responding to complex queries, their reliance on server-side processing poses significant challenges for mobile assistants. These challenges primarily revolve around two key issues: Privacy: Mobile assistants frequently require access to sensitive personal information to provide accurate and relevant responses. Storing and processing this...

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