March 2025 has been a pivotal month for Generative AI, with significant advancements propelling us closer to Artificial General Intelligence (AGI). From intelligent model releases like Gemini 2.5 Pro and ERNIE 4.5 to innovations in agentic AI with Manus AI, we’ve witnessed a rapid evolution in the AI landscape in the last month. All these […]

Building a RAG (Retrieval-Augmented Generation) application isn’t just about plugging in a few tools—it’s about choosing the right stack that makes retrieval and generation not just possible but efficient and scalable. Let’s say you’re working on something like “Smart Chat with PDF”—an AI app that lets users interact with PDFs conversationally. It’s not as simple […]

Fine-tuning large language models is no small feat—it demands high-performance GPUs, vast computational resources, and often, a wallet-draining budget. But what if you could get the same powerful infrastructure for a fraction of the cost? That’s where affordable cloud platforms come in. Instead of paying premium rates on AWS, Google Cloud, or Azure, smart AI […]

The hype around Ghibli-style AI-generated art has exploded with the introduction of GPT-4o’s image generation capabilities. Social media platforms are flooded with dreamy, nostalgic visuals reminiscent of Studio Ghibli films. However, the massive demand has overwhelmed OpenAI’s servers, leading to long wait times – even for paid users. But don’t worry! If you’re eager to […]

Evaluating large language models (LLMs) is essential. You need to understand how well they perform and ensure they meet your standards. The Hugging Face Evaluate library offers a helpful set of tools for this task. This guide shows you how to use the Evaluate library to assess LLMs with practical code examples. Understanding the Hugging […]

As AI agents take on more complex tasks, simply building them isn’t enough; managing their performance, reliability, and efficiency is just as crucial. That’s where Agent Ops comes in. It helps organizations monitor, optimize, and scale AI agents, ensuring they work seamlessly and adapt to real-world challenges. From AI tools for Agent Ops to agent […]

RAG, or Retrieval-Augmented Generation, has received widespread acceptance when it comes to reducing model hallucinations and enhancing the domain-specific knowledge base of large language models (LLMs). Corroborating information produced by an LLM with external data sources has helped keep the model outputs fresh and authentic. However, recent findings in a RAG system have underscored the […]

Imagine having a magic wand that turns your wildest tech dreams into reality. That’s exactly what Google AI Studio is – your personal gateway to the exciting world of Artificial Intelligence. This guide to Google AI Studio bridges the gap between complex machine learning technologies and practical applications. Whether you’re a developer, data scientist, or […]

There are a lot of ways that AI is changing business. One of the biggest is that it is helping with SEO. Keep reading to learn more. As we mentioned in a previous post, AI has been changing the SEO profession to be more precise, efficient, and data-based. With over 99,000 Google searches per second, […]

One of the largest costs in a server-side tagging can be logging. Google warns about this in their official documentation, and it’s definitely something to keep a keen eye on if your server-side endpoint processes enough data per month. How much should it process for logging to become an issue? It depends, but you could […]