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AIT Featured Posts
AIT Featured Posts
Boosting AI Throughput: Cache-Enhanced Retrieval-Augmented Generation (RAG)
In the fast-evolving world of enterprise AI, Retrieval-Augmented Generation (RAG) has emerged as a foundational technique to improve the relevance and…
How to Build AI Agents Using Modern Agent Frameworks
While conversational AI tools like ChatGPT and Claude have captured widespread attention, a more transformative shift is underway—one driven by…
Adversarial Machine Learning in Detecting Inauthentic Behavior on Social Platforms
Adversarial Machine Learning (AML) has emerged as a crucial tool in the fight against coordinated inauthentic behavior (CIB) on social platforms. With…
The Security Implications of Using Diffusion Models in Enterprise AI Systems
Diffusion models have emerged as a powerful generative AI technique, capable of producing highly realistic synthetic data across images, audio, and…
How Prompt Engineering Is Shaping the Future of Autonomous Enterprise Agents
Artificial intelligence has made remarkable leaps in recent years, especially with the rise of advanced large language models like GPT-4o and Claude…
The GPU Shortage: How It’s Impacting AI Development and What Comes Next?
In recent years, the rapid acceleration of artificial intelligence (AI) has driven unprecedented demand for high-performance computing resources—most…
Why Q-Learning Matters for Robotics and Industrial Automation Executives
In the natural world, learning often follows a simple rule: reward the right behavior, and it’s more likely to be repeated. This same principle is…
Implementing White-Box AI for Enhanced Transparency in Enterprise Systems
As artificial intelligence becomes increasingly embedded in enterprise systems, the need for transparency, accountability, and trust has never been…
The Role of AI-powered NLP in Conversational AI: Building Smarter Virtual Agents
In the growing world of artificial intelligence, Natural Language Processing (NLP) has become the key component that allows machines to comprehend and…
Optimizing LLM Inference with Hardware-Software Co-Design
The rise of large language models (LLMs) has transformed natural language processing across industries—from enterprise automation and conversational…