Imagine you’ve trained a brilliant AI model, but it retains some secrets you’d rather forget. Let's be honest, all too often we (mere humans) wish we could actually unlearn or actually forget. If I had a nickel for every time I wish I could invoke the
let’s unravel how Microsoft’s Cloud solutions are bringing a storm of change to financial services! Bing. Boop. Bing. Bing. Boop🤖 Diving into Microsoft Cloud for Financial Services Have you ever wondered what makes Microsoft Cloud a game-changer for financial services? The Microsoft Cloud isn't just a
When I first stumbled upon ARIA—Rhymes AI's latest marvel—my curiosity peaked. Here, we have a model that boldly pushes the limits of what multimodal systems can achieve! Imagine a model that can not only understand language but also interpret images, context, and even code. I knew
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Imagine learning all there is to know by the end of the third grade and trying to navigate the complexities of adulthood. This is how language models (LMs) operate unless provided with mechanisms to continuously learn. In this post, we explore how two approaches—finetuning and Retrieval Augmented Generation (RAG)
Ever had that feeling where you grasp at something, only to find it’s just out of reach? That’s how I felt trying to navigate the murky waters of AI model training and optimization, not that fine-tuning vs RAG, VS both, alas we have Distillation! My head hurts already,
Understanding the Autogen Framework Have you ever felt overwhelmed by the sheer volume of tasks involved in research? Whether it's data extraction, web scraping, or generating reports, it can be exhausting. That’s where the Autogen framework comes into play—a revolutionary approach that's reshaping how
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https://www.naitive.cloud Prompt Engineering Welcome to the world of prompt engineering, an essential skill in leveraging AI assistants like Claude to their full potential. By mastering the art of crafting effective prompts, you can enhance the accuracy, clarity, and usefulness of AI-generated outputs. Let’s delve into how
Understanding Vector Databases Definition and Purpose of Vector Databases Vector databases are advancing the realm of artificial intelligence by serving as a foundational repository that significantly enhances the capabilities of AI agents. Unlike traditional databases, vector databases store data in a high-dimensional space, allowing AI systems to understand, manipulate, and
TL;DR Generative AI’s future is full of potential, with market projections of $190 billion by 2025. Businesses should prepare by fostering technological adaptability and ethical AI deployment, focusing on transparency, data security, and stakeholder trust. The journey ahead promises transformative advancements and significant industry shifts. Understanding NVIDIA NIM™
Understanding the Shift to AI-Native Sales Stacks In recent years, the sales landscape has undergone a seismic shift due to the emergence of artificial intelligence (AI) as an essential component of sales strategies. This paradigm shift can be likened to the transformative impact that the Software as a Service (SaaS)
Author: Chris Skaling