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Large Language Model

Home » Large Language Model

High-Performing ≠ Massive: The Rise and Progression of Small Language Models (SLMs)

2025-10-11T06:42:32+00:00

Have you ever needed to find a new charger for your device, only to discover that its voltage wasn’t compatible, causing it not to work or even risking damage? Without checking the actual needs of your device, you’ve probably thought that you could go with what the seller recommends as the “highest-quality” rather than your device’s fitting needs. With the current utilization of AI for businesses, bigger doesn’t always mean better. Large Language Models (LLMs) like GPT, Gemini, Claude, etc. have been in the spotlight for their high-performing power for computational tasks and content generation capabilities. But let’s be honest, [...]

High-Performing ≠ Massive: The Rise and Progression of Small Language Models (SLMs)2025-10-11T06:42:32+00:00

Exploring Meta’s Llama Stack: The Power of Local AI Models

2025-04-30T13:05:35+00:00

Llamas might be adorable animals, but Meta's Llama Stack is the real star in the AI world; you don't need a supercomputer or a massive budget to build powerful, local AI apps right from your terminal. Enjoy a streamlined developer experience, enabling seamless AI application development. As AI becomes more powerful in today's world, it's good to be prepared with AI skills and, Llama Stack is a great place to start when building your first AI application. This article will dive deep into the capabilities of Meta’s Llama Stack and walk you through building a terminal-based AI agent with just [...]

Exploring Meta’s Llama Stack: The Power of Local AI Models2025-04-30T13:05:35+00:00

Retrieval-Augmented Generation (RAG) for Foundation Model Customization

2024-12-02T06:01:45+00:00

Artificial Intelligence (AI) has rapidly advanced, pushing the limits of what machines can accomplish. However, one significant challenge remains: ensuring that AI responses are both accurate and contextually relevant while being up-to-date. This is where Retrieval-Augmented Generation (RAG) comes in—a cutting-edge approach that integrates the capabilities of data retrieval with advanced AI generation techniques. In this blog, we will explore the details of RAG, discussing its benefits, applications, and how to implement it using AWS. Understanding Retrieval-Augmented Generation (RAG) RAG (Retrieval-Augmented Generation) incorporates real-time data retrieval into the generative process. Unlike traditional models that depend solely on pre-trained data, RAG [...]

Retrieval-Augmented Generation (RAG) for Foundation Model Customization2024-12-02T06:01:45+00:00

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