Author: Hunter

LLMs have significantly advanced natural language processing, excelling in tasks like open-domain question answering, summarization, and conversational AI. However, their growing size and computational demands highlight inefficiencies in managing extensive contexts, particularly in functions requiring complex reasoning and retrieving specific information. To address this, Retrieval-Augmented Generation (RAG) combines retrieval systems with generative models, allowing access… Read more

The list of AI certifications keeps growing. Here’s the latest from Pearson and Microsoft. Read more

Large Language Models (LLMs) based on Transformer architectures have revolutionized sequence modeling through their remarkable in-context learning capabilities and ability to scale effectively. These models depend on attention modules that function as associative memory blocks, storing and retrieving key-value associations. However, this mechanism has a significant limitation: the computational requirements grow quadratically with the input… Read more

Whether for creating brand-consistent marketing visuals or detailed character art, the API enhances precision and adaptability.Read More Read more

Enterprises can prepare for AI becoming faster, cheaper and more capable in 2025, and take the lead on developing applications.Read More Read more

Successfully scaling gen AI requires clear, high-value use cases, technological flexibility and an adaptive workforce.Read More Read more

Let’s dive into the many reasons security leaders are embracing AI-native security operations centers (SOCs) as the future of defense.Read More Read more

Here’s how robotics manufacturing company Baca Systems and corporate food ordering platform ezCater are using Salesforce’s AI agents.Read More Read more

AI-powered code development has come a long way in recent years. Here’s where it’s headed as 2025 gets underway.Read More Read more

The infrastructure to support AI inherits many challenges that defined industrial factories, from power to scalability and reliability.Read More Read more